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Methods

8,258 papers (12 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

2
31
37
801
1,203
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'15
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'25

Papers (including subtopics)

Constrain Alignment with Sparse Autoencoders ICML 2025 Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium ICML 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning ICLR 2025 Constraint-Preserving Data Generation for One-Shot Visuomotor Policy Generalization CoRL 2025 Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity IJCAI 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025 Continual Reinforcement Learning by Planning with Online World Models ICML 2025 Continuously evolving rewards in an open-ended environment JMLR 2025 Continuous-Time Reward Machines IJCAI 2025 Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery ICLR 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning ICLR 2025 Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots CoRL 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 Controlling Large Language Model with Latent Action ICML 2025 Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration ICML 2025 Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity ICML 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Convergence of Policy Mirror Descent Beyond Compatible Function Approximation ICML 2025 Convert Language Model into a Value-based Strategic Planner ACL 2025 Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning ICML 2025 ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning EMNLP 2025 Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking ICLR 2025