Emergent tool use from multi-agent interaction - OpenAI
2019年9月17日 · In this work we show evidence that agents learn complex strategies and counterstrategies through a self-supervised autocurriculum in hide-and-seek. Another method to learn skills in an unsupervised manner is intrinsic motivation, which incentivizes agents to explore with various metrics such as model error or state counts.
[1909.07528] Emergent Tool Use From Multi-Agent Autocurricula
2019年9月17日 · Through multi-agent competition, the simple objective of hide-and-seek, and standard reinforcement learning algorithms at scale, we find that agents create a self-supervised autocurriculum inducing multiple distinct rounds of emergent strategy, many of which require sophisticated tool use and coordination.
美国OpenAI公司开发的机器学习系统-Hide and Seek（捉迷藏） …
2023年10月11日 · 通过复现美国 OpenAI 公司开发的 机器学习 系统-Hide and Seek （捉迷藏）游戏，熟悉机器学习系统的基本结构，包括定义、工作原理、设计方法以及影响系统设计重要因素，了解机器学习系统的开发与应用，更好地理解机器学习的概念以及机器学习基本方法，包括传统学习方法、深度学习和强化学习等。 通过案例创新教学方法实践，培养创新型人工智能+人才。 2. OpenAI基本工作原理. 如下图所示，强化学习把学习看作试探、评价的过程。 Agent（智能 …
AI learned to use tools after nearly 500 million games of hide and seek
2019年9月17日 · Through playing a simple game of hide and seek hundreds of millions of times, two opposing teams of AI agents developed complex hiding and seeking strategies that involved tool use and...
Playing Hide-and-Seek, Machines Invent New Tools
2019年11月18日 · AI bots playing hide-and-seek learned to manipulate their environment in unexpected ways, including the technique dubbed “box surfing.” Programmers at OpenAI, an artificial intelligence research company, recently taught a gaggle of intelligent artificial agents — bots — to play hide-and-seek.
Through multi-agent competition, the simple objective of hide-and-seek, and stan- dard reinforcement learning algorithms at scale, we find that agents create a self- supervised autocurriculum inducing multiple distinct rounds of emergent strategy,
复现美国OpenAI公司开发的机器学习系统-Hide and Seek（捉迷 …
2023年10月14日 · 通过复现美国OpenAI公司开发的机器学习系统-Hide and Seek（捉迷藏）游戏，熟悉机器学习系统的基本结构，包括定义、工作原理、设计方法以及影响系统设计重要因素，了解机器学习系统的开发与应用，更好地理解机器学习的概念以及机器学习基本方法，包括传统 ...
What happens when AI plays hide-and-seek 500 million times
2019年9月23日 · OpenAI created an artificial intelligence system that develops behavior by playing hide-and-seek millions of time. Here's what we learned.
AI agents play hide-and-seek: An OpenAI project ... - IEEE Xplore
AI agents play hide-and-seek: An OpenAI project demonstrated "emergent behavior" by AI players - [News] Abstract: After 25 million games, the AI agents playing hide-and-seek with each other had mastered four basic game strategies.
OpenAI simulates aeons of natural selection with hide and seek
2020年5月17日 · Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely complex ...
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