Policy Learning

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation CoRL 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 MDP Geometry, Normalization and Reward Balancing Solvers AISTATS 2025 MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility ICLR 2025 MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025 Minority-Aware Satisfaction Estimation in Dialogue Systems via Preference-Adaptive Reinforcement Learning IJCNLP 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation CoRL 2025 MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment ICML 2025 Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition AAAI 2025 Multi-Turn Code Generation Through Single-Step Rewards ICML 2025 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 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 NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations ICML 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 MDPs via Anchoring ICML 2025