Reinforcement Learning

A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making ICML 2025 An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring IJCNLP 2025 Analytical Lyapunov Function Discovery: An RL-based Generative Approach ICML 2025 An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning COLING 2025 An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals ACL 2025 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning ICLR 2025 An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints ICML 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Anytime-Constrained Equilibria in Polynomial Time ICML 2025 AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) AAAI 2025 A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems ICML 2025 APIRL: Deep Reinforcement Learning for REST API Fuzzing AAAI 2025 A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence ICLR 2025 A Pontryagin Perspective on Reinforcement Learning L4DC 2025 Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning IJCAI 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Approximate Global Convergence of Independent Learning in Multi-Agent Systems AISTATS 2025 Approximate State Abstraction for Markov Games AAAI 2025 A Primal-dual Perspective for Distributed TD-learning IJCAI 2025 A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control RSS 2025 A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games ICML 2025 ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly CoRL 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025