2026 edition · Top 35
Reinforcement learning
Learning to act from reward: dynamic programming, value and policy methods, and deep RL.
Reinforcement learning: 35 · N = 35, scaled from 83 candidates.
0 of 35 of this page's 35 read · saved in this browser only
- 1
Continuous control with deep reinforcement learning
Timothy P. Lillicrap · 16,206 citations · Papers With Code
Award - 2
Human-level control through deep reinforcement learning
Volodymyr Mnih · 30,346 citations · OpenAlex
Editor's note - 3
- 4
Mastering the game of Go with deep neural networks and tree search
David Silver · 15,607 citations · OpenAlex
Editor's note - 5
- 6
Proximal Policy Optimization Algorithms
John Schulman · 32,311 citations · Papers With Code
Editor's note - 7
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Richard S. Sutton · 8,074 citations · Semantic Scholar
Editor's note - 8
Mastering the game of Go without human knowledge
David Silver · 9,081 citations · OpenAlex
Editor's note - 9
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 7,006 citations · OpenAlex
Editor's note - 10
Learning to Predict by the Methods of Temporal Differences
Richard S. Sutton · 5,130 citations · OpenAlex
Editor's note - 11
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih · 10,427 citations · Papers With Code
- 12
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja · 12,708 citations · Papers With Code
- 13
Playing Atari with Deep Reinforcement Learning
Mnih · 14,077 citations · Papers With Code
- 14
Mastering Atari, Go, chess and shogi by planning with a learned model
Julian Schrittwieser · 2,800 citations · Papers With Code
Editor's note - 15
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao · 10,104 citations · Papers With Code
- 16
Deep Reinforcement Learning with Double Q-learning
van Hasselt · 9,633 citations · Papers With Code
- 17
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver · 3,567 citations · OpenAlex
- 18
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar · 2,913 citations · Papers With Code
- 19
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman · 5,052 citations · Papers With Code
- 20
Neuronlike adaptive elements that can solve difficult learning control problems
Andrew G. Barto · 3,240 citations · OpenAlex
- 21
Prioritized Experience Replay
Schaul · 4,696 citations · Papers With Code
- 22
Deterministic Policy Gradient Algorithms
David Silver · 4,690 citations · Semantic Scholar
- 23
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen · 2,574 citations · Papers With Code
- 24
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Richard S. Sutton · 3,119 citations · OpenAlex
- 25
Dueling Network Architectures for Deep Reinforcement Learning
Wang · 4,626 citations · Papers With Code
- 26
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto · 7,671 citations · Papers With Code
- 27
OpenAI Gym
5,688 citations · Papers With Code
- 28
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Puterman · 8,037 citations · OpenAlex
- 29
Actor-Critic Algorithms
Vijay R. Konda · 2,156 citations · OpenAlex
- 30
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe · 6,576 citations · Papers With Code
- 31
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner · 2,438 citations · Papers With Code
- 32
Algorithms for Inverse Reinforcement Learning
Andrew Y. Ng · 2,664 citations · Semantic Scholar
- 33
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
Richard S. Sutton · 1,348 citations · OpenAlex
- 34
Grandmaster level in StarCraft II using multi-agent reinforcement learning
3,454 citations · OpenAlex
- 35
Recurrent World Models Facilitate Policy Evolution
David Ha · 2,233 citations · Papers With Code
Ranked on another page
Also relevant
Top 500 papers ranked on another domain page that matter here too.
Training language models to follow instructions with human feedback
Long Ouyang · 25,000 citations · Papers With Code
Editor's noteDeep reinforcement learning from human preferences
Paul Christiano · 6,187 citations · Papers With Code
Editor's noteDirect Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov · 11,135 citations · Papers With Code
Editor's noteDeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI · 5,325 citations · Papers With Code
ContestedEditor's noteSome Studies in Machine Learning Using the Game of Checkers
Arthur L. Samuel · 5,325 citations · Semantic Scholar
Editor's noteClassic quotaMuJoCo: A physics engine for model-based control
Emanuel Todorov · 4,630 citations · OpenAlex
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.