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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve NIPS 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NIPS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
Model-based Diffusion for Trajectory Optimization NIPS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Reinforcement Learning with Lookahead Information NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024