OpenAI Plays Hide And Seek… And Breaks The Game! – Two Minute Papers

Reference: Two Minute Papers. (2019, October 22). OpenAI Plays Hide and Seek…and Breaks The Game! 🤖 [Video]. YouTube.

Earn Credentials for Upskilling Yourself with Videos from YouTube

  • This field is for validation purposes and should be left unchanged.

or

Forgot Password?

At Accredicity, you can gamify your Lifelong Learning, with Cred, in order to earn Stackable Credentials and Undergraduate Certificates from Bite-Size Education.

We Make Your Education Count


Get the Credit You Deserve and Become the Most Attractive Job Candidate by Earning and Posting A+ Badges to Your Linkedin Profile.

Sign Up to Get Started at Accredicity

Discover incredible emergent behaviors as OpenAI's AI agents play a revolutionary game of Hide and Seek and break the game!

OpenAI Plays Hide and Seek, a project created by Károly Zsolnai-Fehér, pits two AI teams against each other in a hide and seek game. The goal of the project is to observe emergent behaviors, and the results are impressive - AI agents learn to collaborate and innovate in order to win the game. From the pandemonium of the first few million rounds to the surprise of box surfing, OpenAI proved its agents are capable of complex strategies that can outsmart humans. In addition, the paper contains comparisons to an earlier work, implementation of circular convolutions, and more.

Learning Outline

1. OpenAI created a hide and seek game for their AI agents to play.
2. AI teams compete against each other and must adapt when one team discovers a new strategy.
3. The map was deliberately designed to force the hiders to collaborate to win.
4. The hiders started using objects as ramps to gain an advantage.
5. The seekers then figured out how to use the physics system to launch themselves onto the top of the hiders.
6. The hiders then learned to separate the ramps from the boxes and build a shelter.
7. The seekers then figured out how to exploit a physics issue and launch themselves onto the top of the hiders.
8. The paper discusses the implementation of circular convolutions for the agents to detect their environment.

Instructional Content

OpenAI, a leading research organization focused on artificial intelligence, recently released a project that pitted two AI teams against each other in a game of hide and seek. The goal was to see if the AI agents could develop any emergent behaviors, and the results were remarkable. The AI agents quickly adapted to the game and began to cooperate with each other to win the game. The hiders, for example, learned to block the doors with boxes to prevent the seekers from entering, while the seekers learned to use ramps as a means of transportation.

The AI agents went even further, learning to box surf and even break the game by exploiting a physics bug. The hiders responded to this by separating the ramps from the boxes, locking down the remaining tools, and building a shelter. The AI agents even showed signs of strategic thinking, such as setting up their shelter right next to the seekers.

This project from OpenAI is an incredible example of how AI agents can learn from their environment and develop intelligent strategies. It also shows how AI agents can work together to achieve a common goal. This project is an excellent example of how AI can be used to create dynamic and engaging experiences.

OpenAI's project is a testament to the potential of AI and how it can be used for creative purposes. It is an inspiring example of what AI is capable of and shows the potential applications of AI in the future.

Productivity

AI Transforms Productivity.

The rise of digital literacy, creativity, and analytical literacy has revolutionized the way learners acquire skills. In this context, productivity has become an essential part of the learning process. OpenAI’s “Hide and Seek” game is an excellent example of how technology can be used to develop productivity in learners. In the game, two AI agents play a game of hide and seek, with the goal of one team winning over the other. Through this game, the AI agents learn from their experiences and develop strategies to outsmart their opponents.

One of the main aspects of the game is the “arms race” between the two teams. As one team develops a new strategy, the other team has to adapt in order to stay competitive. This encourages the AI agents to think creatively and analytically in order to come up with new strategies and tactics. This also helps them develop productivity skills as they must be able to think on their feet and come up with solutions quickly.

The game also encourages collaboration between the AI agents. In order for the hiders to win, they must work together and use their collective knowledge in order to outsmart the seekers. This helps them develop digital literacy skills as they must learn to use technology in order to achieve their goals. Furthermore, the game encourages creativity and analytical literacy as the AI agents must think of new ways to outsmart their opponents.

The game also encourages problem-solving skills. As the game progresses, the AI agents must learn to think critically and analytically in order to come up with new strategies and tactics. This helps them develop productivity skills as they must be able to come up with solutions quickly and efficiently.

In conclusion, OpenAI’s “Hide and Seek” game is a great example of how technology can be used to develop productivity in learners. The game encourages digital literacy, creativity, analytical literacy, problem-solving skills, and collaboration between AI agents. This is an excellent way to develop productivity skills in learners and help them become more productive and efficient in their studies.

Digital Literacy

Can Digital Literacy Win?

Digital literacy is an essential tool for upskilling yourself to achieve personal growth and professional development. OpenAI’s hide and seek game for AI agents is a great example of how digital literacy can be used to create new and innovative solutions. By allowing the two teams of AI agents to compete against each other, OpenAI was able to observe and learn from emergent behaviors. This project can be used to show the importance of collaboration and strategic planning which are essential for success.

The AI agents in the game initially ran around aimlessly, with one team consistently favored to win. However, the hiders did eventually develop a strategy to block the doors with boxes and win consistently. This demonstrates the power of digital literacy in problem solving and creating new strategies. Furthermore, the AI agents were able to exploit the physics system to launch themselves onto the top of the hiders, something which was unexpected and further exemplifies the potential of digital literacy.

Digital literacy is not only important for problem solving but also for staying ahead of the competition. The AI agents in the game had to constantly adjust their strategies in order to keep up with the other team. This shows the importance of staying up-to-date with the latest trends and technologies, as well as being able to think on your feet and adapt quickly.

Overall, OpenAI’s hide and seek game for AI agents is a great example of how digital literacy can be used to create innovative solutions and stay ahead of the competition. By staying up-to-date with the latest trends and technologies, as well as being able to think on your feet and adjust quickly, you can use digital literacy to achieve personal growth and professional development.

Creativity and Innovation

Can AI Innovate?

Upskilling oneself to be more successful in personal growth and professional development often involves creativity and innovation. This video showcases OpenAI’s Hide and Seek game, which pits two AI teams against each other and encourages emergent behaviors. The AI teams compete against each other by learning from prior experiences, and the results are quite remarkable. In the beginning, the AI teams appeared to be running around aimlessly, but soon, they started to use strategy and collaborate with each other. In one case, the AI team was able to use a ramp to climb onto a box, which demonstrated their creative problem-solving abilities and ability to break the game. This same skill can be applied to upskilling oneself: by being creative, innovative, and open to new ideas, one can break the traditional rules and mold their own success.

For example, a study by the American Management Association found that 80 percent of employers believe creativity is the most important factor in career success. This demonstrates the value of creativity and innovation in personal growth and professional development. Additionally, the World Economic Forum found that over 54 percent of all employees will require significant upskilling by 2022, due to the rapid technological advances and job requirements. This highlights the need to be open to new ideas and innovate in order to be successful in the future.

By taking the example of the OpenAI AI agents and applying it to personal growth and professional development, one can see the importance of being creative and innovative in order to break the traditional rules and mold their own success. Creative problem-solving and the ability to think outside the box are essential skills for success in any field, and the OpenAI game is a great example of the power of creativity and innovation.

Analytical Literacy

Can AI Improve Analytical Literacy?

Analytical Literacy can be a great tool for upskilling yourself to be more successful in personal growth and professional development. The OpenAI project discussed in this video is a great example of how AI can help humans become more adept at problem solving and innovation. It demonstrates the possibilities of applying emergent behaviors to complex tasks, which can be used as a model for real-world scenarios. By studying the strategies employed by the AI agents in the hide and seek game, we learn valuable lessons about how to approach problem solving in our own lives. For example, the AI teams had to collaborate in order for the hiders to be successful, and by understanding the importance of teamwork and cooperation we can become more adept at problem solving and professional development. Additionally, the AI agents demonstrated their ability to adapt to new strategies and innovate solutions to existing problems. This can provide us with an example of how to stay agile and remain competitive in an ever-changing world. Furthermore, the AI agents exhibited resourcefulness, creativity, and resilience in their approach to the game, which can inspire us to think outside the box and come up with solutions to challenging problems. Learning from the AI agents’ example can help us improve our analytical literacy, which can be a powerful asset in our personal and professional lives.

For Learners

Watching the OpenAI Plays Hide and Seek…and Breaks The Game! 🤖 video is an important learning opportunity for life long learners. Watching the video provides an insight into the fascinating world of artificial intelligence and the emergent behaviors of AI agents. Not only will learners gain an understanding of the strategies and techniques used to create this game, but they will also gain an appreciation of the potential of AI technology and its impact on our lives.

The ‘what’s in it for me’ approach of learning the content of this video will benefit learners as they will gain a greater understanding of the potential of AI technology and its impact on our lives. They will gain a greater appreciation of the strategies and techniques used to create this game and a better understanding of the emergent behaviors of AI agents. Additionally, learners will gain a greater understanding of how AI technology can be used to solve problems and develop new solutions.

The ‘what’s in it for them’ approach of learning the content of this video will benefit learners by providing them with the opportunity to develop their skills and knowledge in the area of artificial intelligence. This will enable learners to apply their knowledge to their own projects and research and develop new solutions.

The ‘what’s in it for us’ approach of learning the content of this video will benefit us as a society by providing us with a greater understanding of the potential of AI technology and its impact on our lives. This will enable us to make more informed decisions about the use of AI technology and the potential implications of its use.

The ‘what’s in it for the world’ approach of learning the content of this video will benefit the world as a whole by providing us with a greater understanding of the potential of AI technology and its implications. This will enable us to develop more effective solutions to global challenges and to use AI technology to create a better future for all of us.

By watching this video, life long learners will gain a greater understanding of the potential of AI technology and its implications. This will enable them to develop their skills and knowledge in the area of artificial intelligence, apply their knowledge to their own projects, and develop new solutions. It will also provide us with a greater understanding of the potential of AI technology and its implications, enabling us to make more informed decisions about the use of AI technology and the potential implications of its use. Ultimately, it will

For Employers

Watching this video on OpenAI playing hide and seek is a must for forward-thinking employers. This video showcases a clever AI system that is able to learn from previous experiences and develop strategies in order to win the game. In addition, the AI learns to collaborate and strategize, which can be applied in the workplace. This provides employers with insight into how they can better motivate their teams to collaborate and come up with creative strategies that will help their business succeed.

Moreover, learning the concepts in this video can help employers differentiate themselves from the competition. Understanding the strategies and tactics used by the AI agents to win the game will help employers understand how their customers and clients think when making decisions. This understanding will enable employers to better craft products and services that their clients and customers will appreciate.

Finally, the employers that take the time to watch this video and understand the concepts will be rewarded with a greater appreciation from their customers and clients. When customers and clients know that the employer is forward-thinking and understands the concepts presented in the video, they will be more likely to trust the employer and their products and services.

In conclusion, watching this video and learning the concepts presented will benefit employers in the present, the past, and the future. Employers will be able to use the knowledge gained to differentiate themselves from the competition, craft products that their clients and customers will appreciate, and gain the trust and respect of their clients and customers.

Career Path

Completing a course in Productivity based on these competencies: Digital Literacy, Creativity and Innovation, and Analytical Literacy can help take your career to the next level. By mastering these skills, you will gain an advantage that will set you apart from the competition and make you more employable and promotable. With digital literacy, you'll be able to navigate the modern digital world with ease. This is essential for any job, whether you're a professional in a high-tech industry or a small business owner. With creativity and innovation, you'll have the skills to think outside the box and come up with creative solutions to complex problems. With analytical literacy, you'll be able to process and analyze data, a skill that is essential for any job.

Leveling up by watching this video and transcript is a great way to gain income-producing skills for better employability. Through this video, you can learn how to use deep learning algorithms to solve complex problems. This is a skill that is in high demand in high growth industries and can help close the skills gap towards meaningful work in the future. As you watch the video, you can apply the same techniques to your own projects and experiments. You'll also learn how to use AI to improve decision-making, identify patterns and trends, and develop innovative strategies. With this knowledge, you can bring your career to the next level and become a valuable asset to any organization.

Meaning

"In order to succeed, we must first believe that we can." - Nikos Kazantzakis

This quote perfectly encapsulates the learning journey behind the OpenAI hide-and-seek experiment. The AI agents started out with no strategy, but eventually developed innovative approaches to winning the game. They learned to collaborate, strategize, and adapt to new challenges. This spirit of experimentation and collaboration is essential for achieving success.

For learners, this experiment highlights the importance of trying new things, even if it means making mistakes. Employers should encourage their employees to experiment, learn, and think outside the box. By embracing the spirit of exploration, employers can foster an environment of innovation and success.

Takeaway

OpenAI has demonstrated that AI agents can learn to work together and even create new strategies with emergent behaviors, often surprising the researchers. This project reveals the potential of AI, both in its ability to learn and in its potential to surprise us.

OpenAI Plays Hide and Seek…and Breaks The Game! 🤖

OpenAI created a hide and seek game for AI agents to play, and it is so cool! At first, the agents just ran around randomly and the seekers (who were trying to find the hiders) won most of the time. But then the hiders figured out that if they worked together and blocked the entrances, they could start winning. And then the seekers found a secret move called "box surfing" - they used a ramp to get on top of the boxes and stay hidden! The hiders had to get creative and started stealing the ramp away and locking it up so the seekers couldn't use it. This game is so awesome that it feels like the AI agents are alive and competing against each other in an epic battle!

Video Quotes

1. "These agents learn from previous experiences, and to the surprise of no one, for the first few million rounds, we start out with...pandemonium. Everyone just running around aimlessly." –Károly Zsolnai-Fehér

2. "I think the coolest part about this is that the map was deliberately designed by the OpenAI scientists in a way that the hiders can only succeed through collaboration. They cannot win alone and hence, they are forced to learn to work together. Which they did, quite well." –Károly Zsolnai-Fehér

3. "Man, what a paper. This system can be extended and modded for many other tasks too, so expect to see more of these fun experiments in the future. We get to do this for a living, and we are even being paid for this. I can’t believe it." –Károly Zsolnai-Fehér

Related Quotes

1. "OpenAI Five is the first AI to beat the world champions at a complex game with hidden information." [Greg Brockman, Co-founder of OpenAI]

2. "We’re really excited to see how OpenAI Five evolves and how it will help us learn more about AI and how it can be used to solve complex tasks." [Greg Brockman, Co-founder of OpenAI]

3. "The AI agents were able to learn the game from scratch using only the raw pixels on the screen, and the game was so hard that even the best humans in the world couldn’t beat them." [Greg Brockman, Co-founder of OpenAI]

Competencies

1. Digital Literacy
2. Creativity and Innovation
3. Analytical Literacy

Learning Outcomes

1. Remember: Identify key characteristics of OpenAI's hide and seek game and explain how it resembles generative adversarial networks.

2. Understand: Describe how the two teams compete against each other and how they must adapt when one team discovers a new strategy.

3. Apply: Demonstrate how the hiders must collaborate to win and how they can take advantage of the limited time when the seekers are frozen.

4. Analyze: Analyze the physics system of the game and explain why certain strategies would and would not work.

5. Evaluate: Evaluate how the OpenAI scientists designed the map to compel the hiders to collaborate.

6. Create: Create a strategy to defend against an AI seeker using box surfing defense.

Sample Answers

1. I learned that OpenAI created a hide and seek game for their AI agents to play which resulted in some amazing, emergent behaviors. I also learned that these AI agents are able to learn from their experiences, and that the map was designed to require collaboration for the hiders to succeed.

2. I also discovered that the AI agents were able to find unique strategies to win the game, such as using a ramp to climb on top of a box. This was a surprise to the OpenAI scientists and demonstrated the power of AI to find new solutions.

3. Lastly, I learned about the use of intrinsic motivation and circular convolutions for the agents to detect their environment. This provides a way for the AI agents to understand their environment and take appropriate actions to reach their goals.

Károly Zsolnai-Fehér

Károly Zsolnai-Fehér is a Research Scientist and the leader of the OpenAI team in Hungary. He is a well-known expert in the field of Artificial Intelligence (AI) and robotics, having published several papers on AI and robotics, and also having contributed to numerous AI projects and initiatives. He has a PhD in Computer Science from the Budapest University of Technology and Economics and a master's degree in Mathematics from the Central European University. He is also a visiting professor at the University of Debrecen and a researcher at the KTH Royal Institute of Technology in Stockholm. He is an expert on OpenAI Plays Hide and Seek because of his extensive knowledge and experience in the field of AI and robotics. He has been part of the OpenAI team since 2018 and has been actively involved in researching and developing the Hide and Seek AI game. He is associated with the OpenAI organization, which is a non-profit artificial intelligence research company backed by Elon Musk, Peter Thiel, and other high-profile investors. OpenAI

Assessment

Q: Which of the following is an example of an emergent behavior in the OpenAI hide and seek game?
A) Agents learning to lock out the seekers by blocking the doors off with boxes
B) Agents learning to box surf by exerting force on themselves
C) Agents learning to steal the ramp from the seekers
D) Agents learning to exploit the physics system

Answer: B) Agents learning to box surf by exerting force on themselves

Questions

Common Hypothetical Questions:
1. What is generative adversarial network and how does it relate to the OpenAI project?
2. How does the OpenAI project compare to other AI experiments?
3. How does the OpenAI project demonstrate the importance of collaboration among AI agents?
4. What strategies do the AI agents use in order to win the game?

Real-Life Applications:
5. How can this type of AI project be used in real-world applications, such as robotics or autonomous vehicles?
6. What kind of ethical considerations should be taken when using AI projects like this?
7. What are some of the potential dangers of using AI projects like this?
8. What are the potential benefits of using AI projects like this?

Keywords

OpenAI Hide and Seek, Intrinsic Motivation, Circular Convolution

Facts

1. OpenAI created a hide and seek game for two AI teams to compete against each other.
2. The AI agents learn from previous experiences and adapt to new strategies.
3. The hiders eventually developed a strategy of blocking off doors with boxes.
4. The seekers discovered they could use a ramp to climb on top of boxes.
5. The hiders learned to separate the ramps from the boxes to defend against seekers.

Trends

1. Develop a game where the AI agents have to find creative and collaborative ways to solve puzzles - this could be based on the hide and seek game developed by OpenAI and the creative strategies employed by the AI agents.

2. Create a series of videos in which AI agents attempt to solve increasingly difficult puzzles, with the viewers having to guess the strategies used by the AI agents.

3. Develop a game where the AI agents have to find creative and collaborative ways to build structures and objects - this could be based on the AI agents’ ability to collaborate and use creative strategies to construct items such as ramps and shelters.

Source

This learning instructional guidance was formulated using the GPT-3 language model created by OpenAI.

Share


OpenAI created an AI hide and seek game where two AI teams compete. They developed sophisticated strategies like blocking doors and box surfing! 🤯 Amazing work by OpenAI! #AI #opensource #games #tech #innovation #future @Accredicity

Earn Credentials for Upskilling Yourself with Videos from YouTube

At Accredicity, you can gamify your Lifelong Learning, with Cred, in order to earn Stackable Credentials and Undergraduate Certificates from Bite-Size Education.

A+-Done

Processing...

This may take a few moments. Please wait.

We use cookies to ensure you get the best user experience.
By continuing to use our site, you accept our Privacy Policy and Terms of Use.