Reinforcement Learning: An Overview
On the map: Offline RL and imitation learning from data → Offline RL algorithms
Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Placed in Offline RL algorithms, one of 13 directions in Offline RL and imitation learning from data. Builds on 0 of its 2 references that are in the map. First posted on arXiv 6 Dec 2024.
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Citing papers per year: 2025: 4; 2026: 2.
6 papers.
- 2025Code World Models for General Game Playingcited by 25
- 2025More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertaintycited by 10
- 2025Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scalingcited by 4
- 2025Fully Offline Reinforcement Learningcited by 0
- 2026MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoningcited by 0
- 2026World models of environment, agent and joint agent-environment systemscited by 0
- 2026MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning27 Jul 2026
- 2026World models of environment, agent and joint agent-environment systems23 Jul 2026
- 2025Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling7 Oct 2025
- 2025Code World Models for General Game Playing6 Oct 2025
- 2025Fully Offline Reinforcement Learning28 May 2025
- 2025More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty28 Mar 2025
Similar, not cited
Close in wording, no citation either way
- 2026Reinforcement Learning: From Algorithms To Foundation Models
- 2025The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
- 2024Reinforcement Learning for LLM Post-Training: A Survey
- 2023Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization
- 2024Reinforcement Learning Enhanced LLMs: A Survey
- 2022A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
- 2025Statistical and Algorithmic Foundations of Reinforcement Learning
- 2022A Survey on Model-based Reinforcement Learning