Reinforcement Learning

Towards Better Question Generation in QA-based Event Extraction ACL 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Tree Search-Based Policy Optimization under Stochastic Execution Delay ICLR 2024 TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024 Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ICLR 2024 Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data AAAI 2024 Variational Delayed Policy Optimization NeurIPS 2024 Virtual Action Actor-Critic Framework for Exploration (Student Abstract) AAAI 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation AAAI 2023 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 Adaptive Ordered Information Extraction with Deep Reinforcement Learning ACL 2023 A Definition of Continual Reinforcement Learning NeurIPS 2023 A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning ICLR 2023 A Machine with Short-Term, Episodic, and Semantic Memory Systems AAAI 2023 A Mixture-of-Expert Approach to RL-based Dialogue Management ICLR 2023