Reinforcement Learning: An Overview

2024-12-06Code Available0· sign in to hype

Kevin Murphy

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github.com/phixion/phixion
pytorch★ 6

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).

Tasks

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

Reinforcement Learning: An Overview

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Abstract

Tasks

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