Reinforcement Learning: An Overview

December 06, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Kevin Murphy arXiv ID 2412.05265 Category cs.AI: Artificial Intelligence Cross-listed cs.LG Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
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). It also includes some code snippets for training LLMs with RL.
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