A community dedicated to discussions on reinforcement learning, a subdiscipline of machine learning that tackles sequential decision making problems.
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca 
www.acm.org Andrew Barto and Richard Sutton are the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning.Andrew Barto and Richard Sutton are the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations...
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca Open Sourcing π₀
www.physicalintelligence.company Open Sourcing π0Physical Intelligence is bringing general-purpose AI into the physical world.
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca A Little Bit of Reinforcement Learning from Human Feedback -- Nathan Lambert
https://bsky.app/profile/natolambert.bsky.social/post/3lh5jih226k2k
Anyone interested in learning about RLHF? This text isn't complete yet, but looks to be a pretty useful resource as is already.
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca Reinforcement Learning: An Overview
arxiv.org Reinforcement Learning: A Comprehensive OverviewThis manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based method, policy-gradient methods, model-based methods, and various other topics (e.g., multi-agent RL, RL+LLMs, and RL+inference).
An overview of RL published just a few days ago. 144 pages of goodies covering everything from basic RL theory to modern deep RL algorithms and various related niches.
This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs).
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca Keynotes from the 2024 Reinforcement Learning Conference
Recordings for the RLC keynote talks have been released.
Keynote speakers:
- David Silver
- Doina Precup (Not recorded)
- Peter Stone
- Finale Doshi-Velez
- Sergey Levine
- Emma Brunskill
- Andrew Barto
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca OpenAI: Learning to Reason with LLMs
OpenAI just put out a blog post about a new model trained via RL (I'm assuming this isn't the usual RLHF) to perform chain of thought reasoning before giving the user its answer. As usual, there's very little detail about how this is accomplished so it's hard for me to get excited about it, but the rest of you might find this interesting.
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Reinforcement Learning @lemmy.ca howrar @lemmy.ca Introducing SIMA, a Scalable Instructable Multiworld Agent
deepmind.google A generalist AI agent for 3D virtual environmentsIntroducing SIMA, a Scalable Instructable Multiworld Agent
