Papers › Reinforcement Learning: An Overview

Reinforcement Learning: An Overview

6 Dec 2024arXiv:2412.05265archive 2025-07-28

Kevin Murphy

This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based methods, policy-based methods, model-based methods, multi-agent RL, LLMs and RL, and various other topics (e.g., offline RL, hierarchical RL, intrinsic reward).

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phixion/phixion mentioned on GitHubpytorch report

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Decision Making Deep Reinforcement Learning Offline RL Policy Gradient Methods Reinforcement Learning Sequential Decision Making reinforcement-learning

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