Methods

Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning NSDI 2025 MuTIS: Enhancing Reasoning Efficiency through Multi Turn Intervention Sampling in Reinforcement Learning EMNLP 2025 Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization AISTATS 2025 NAT: Enhancing Agent Tuning with Negative Samples NAACL 2025 Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation ACL 2025 Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning ICML 2025 NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation ICCV 2025 NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations ICML 2025 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-stochastic Bandits With Evolving Observations ALT 2025