Reinforcement Learning

Near Optimal Best Arm Identification for Clustered Bandits ICML 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025 Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form ICLR 2025 Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback ICML 2025 Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model AISTATS 2025 Near-Optimal Sample Complexity for MDPs via Anchoring ICML 2025 Necessary and Sufficient Oracles: Toward a Computational Taxonomy for Reinforcement Learning COLT 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 Neural Robot Dynamics CoRL 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields AAAI 2025 Neurosymbolic World Models for Sequential Decision Making ICML 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning AAAI 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control CoRL 2025 Non-stochastic Bandits With Evolving Observations ALT 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025 Novelty Detection in Reinforcement Learning with World Models ICML 2025 Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ICLR 2025 Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation CVPR 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization ICLR 2025 Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025