arXiv:2412.05265

Reinforcement Learning: An Overview

Kevin Murphy

제출 2024-12-06

원문 초록

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).

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2507.00030공통 태그 Decision Making, Reinforcement Learning, Deep Reinforcement Learning공식 코드 · Papers with Code 등록 2025-06-17

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments

arXiv:2506.12622공통 태그 Reinforcement Learning, Deep Reinforcement Learning, Offline RL공식 코드 · Papers with Code 등록 2025-06-14

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty

arXiv:2506.20916공통 태그 Decision Making, Reinforcement Learning, Deep Reinforcement Learning 등록 2025-06-26

Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning

arXiv:2506.09574공통 태그 Reinforcement Learning, Deep Reinforcement Learning, Offline RL 등록 2025-06-11

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning

논문 ID: document/9066984공통 태그 Decision Making, Reinforcement Learning, Deep Reinforcement Learning 등록 2020-04-14

Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems

논문 ID: document/8928091공통 태그 Decision Making, Reinforcement Learning, Deep Reinforcement Learning 등록 2019-12-09

Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT

토론

이 논문과 연결된 포럼 글이 아직 없습니다.

포럼에서 토론 찾기