Methods

Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML 2025 Test-time Adapted Reinforcement Learning with Action Entropy Regularization ICML 2025 Text2World: Benchmarking Large Language Models for Symbolic World Model Generation ACL 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025 The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space AAAI 2025 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond JMLR 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking ICML 2025 The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025 The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems EMNLP 2025 The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks ICML 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes ICML 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 Theoretical guarantees on the best-of-n alignment policy ICML 2025 The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret ICML 2025 The Pitfalls of Imitation Learning when Actions are Continuous COLT 2025 The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis ALT 2025 The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender AAAI 2025 The Ranking Trick: A Simple and Robust Alternative to Score-Based Regression for AutoML AutoML 2025 The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract) COLT 2025 The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability ICML 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025