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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)

PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning ICML 2025 PILAF: Optimal Human Preference Sampling for Reward Modeling ICML 2025 PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation RSS 2025 Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025 PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning ICML 2025 Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater CVPR 2025 PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations ICLR 2025 POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding ICLR 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation CoRL 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025 Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model ICLR 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Policy Gradient with Tree Expansion ICML 2025 Policy Guided Tree Search for Enhanced LLM Reasoning ICML 2025 Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML 2025 Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints ICML 2025 Policy-Regret Minimization in Markov Games with Function Approximation ICML 2025 Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning ICML 2025 PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization ICLR 2025 Position: Lifetime tuning is incompatible with continual reinforcement learning ICML 2025 POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition ICLR 2025 Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search ICML 2025 Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method AAAI 2025 Prediction-Aware Learning in Multi-Agent Systems ICML 2025