Reinforcement Learning

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024 Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024 Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding ACL 2024 Enhancing Robotics with Cognitive Capabilities AAAI 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Entity-Centric Reinforcement Learning for Object Manipulation from Pixels ICLR 2024 Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning NeurIPS 2024 Environment Design for Inverse Reinforcement Learning ICML 2024 EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes NeurIPS 2024 Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NeurIPS 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning CoRL 2024 Equivariant Diffusion Policy CoRL 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 EROS:Entity-Driven Controlled Policy Document Summarization COLING 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024