Reinforcement Learning
41 resources · page 2 of 2
Jumanji
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Jumanji documentation: InstaDeep's suite of JAX reinforcement-learning environments for combinatorial and decision problems.
MuZero
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arXiv paper (2019) introducing MuZero, planning with a learned model to master Atari, Go, chess and shogi.
OpenAI Five (Dota 2)
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arXiv paper (2019) "Dota 2 with Large Scale Deep Reinforcement Learning", describing OpenAI Five's large-scale reinforcement learning for Dota 2.
PPO
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arXiv paper (2017) "Proximal Policy Optimization Algorithms", introducing PPO, a policy gradient method with a clipped surrogate objective.
RL4CO
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RL4CO documentation: reinforcement-learning benchmark and library for combinatorial optimisation problems.
SAC
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arXiv paper (2018) introducing Soft Actor-Critic (SAC), off-policy maximum-entropy deep reinforcement learning.
verifiers v1
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Prime Intellect post on verifiers v1, splitting environments into tasksets, harnesses and runtimes for agentic RL and evals.
EASA AI Concept Paper Proposed Issue 03
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EASA AI Concept Paper Proposed Issue 03 (PDF), extending aviation AI assurance guidance to more methods and Level 3 automation.
Reward Hacking in Reinforcement Learning (Lil'Log)
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Lilian Weng's survey of reward hacking in reinforcement learning, including in RLHF and coding tasks.