Policy Learning
2,633 papers
Papers per year
6
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1
12
11
14
10
24
16
26
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25
27
61
122
198
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281
291
346
433
377
62
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'25
Papers
NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
EMNLP 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
ICLR 2025
Offline Hierarchical Reinforcement Learning via Inverse Optimization
ICLR 2025
Offline Reinforcement Learning for LLM Multi-step Reasoning
ACL 2025
On Corruption-Robustness in Performative Reinforcement Learning
AAAI 2025
One Planner To Guide Them All ! Learning Adaptive Conversational Planners for Goal-oriented Dialogues
EMNLP 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
ICLR 2025
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)
AAAI 2025
On the Convergence of Continuous Single-timescale Actor-critic
ICML 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
Optimal and learned algorithms for the online list update problem with Zipfian accesses
ALT 2025
Optimizing Decomposition for Optimal Claim Verification
ACL 2025
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
AISTATS 2025
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
ICLR 2025
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
ICLR 2025
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
ICML 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
AAAI 2025
Performative Reinforcement Learning with Linear Markov Decision Process
AISTATS 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
ICML 2025
PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization
ACL 2025
PILAF: Optimal Human Preference Sampling for Reward Modeling
ICML 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
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
ICLR 2025