Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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9
27
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36
20
43
49
59
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58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
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362
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Papers (including subtopics)
Learning Long-Context Diffusion Policies via Past-Token Prediction
CoRL 2025
Learning Long-Horizon Robot Manipulation Skills via Privileged Action
CoRL 2025
Learning Mean Field Control on Sparse Graphs
ICML 2025
Learning mirror maps in policy mirror descent
ICLR 2025
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization
AAAI 2025
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
ICLR 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
ICML 2025
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
IJCAI 2025
Learning Progress Driven Multi-Agent Curriculum
ICML 2025
Learning Structured World Models From and For Physical Interactions
AAAI 2025
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
ICLR 2025
Learning to Act Anywhere with Task-centric Latent Actions
RSS 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward
AAAI 2025
Learning to Communicate Through Implicit Communication Channels
ICLR 2025
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance
IJCAI 2025
Learning to Generate Structured Output with Schema Reinforcement Learning
ACL 2025
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
ICML 2025
Learning to Reuse Policies in State Evolvable Environments
ICML 2025
Learning to Steer Learners in Games
ICML 2025
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
ICML 2025
Learning Utilities from Demonstrations in Markov Decision Processes
ICML 2025
Learning View-invariant World Models for Visual Robotic Manipulation
ICLR 2025
Learning with Linear Function Approximations in Mean-Field Control
JMLR 2025
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
L4DC 2025