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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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'25

Papers (including subtopics)

PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters NSDI 2025 Preference Adaptive and Sequential Text-to-Image Generation ICML 2025 Preference-based Deep Reinforcement Learning for Historical Route Estimation IJCAI 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025 Preference Elicitation for Offline Reinforcement Learning ICLR 2025 Preference Optimization for Combinatorial Optimization Problems ICML 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025 PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction CoRL 2025 Private Federated Learning using Preference-Optimized Synthetic Data ICML 2025 Proactive Guidance of Multi-Turn Conversation in Industrial Search ACL 2025 Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching L4DC 2025 Probabilistic Shielding for Safe Reinforcement Learning AAAI 2025 Progressively Label Enhancement for Large Language Model Alignment ICML 2025 PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement ICCV 2025 Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF ICML 2025 Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents ICML 2025 Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity ICML 2025 Provable Zero-Shot Generalization in Offline Reinforcement Learning ICML 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025 PWM: Policy Learning with Multi-Task World Models ICLR 2025 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search ICML 2025 QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing ICLR 2025