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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024
Reinforcement Learning with Lookahead Information NIPS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring AAAI 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
Model-based Diffusion for Trajectory Optimization NIPS 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024