Reinforcement Learning

Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025 Temporal Difference Flows ICML 2025 Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning ICML 2025 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 Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback ICML 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 impact of uncertainty on regularized learning in games 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