reinforcement learning

Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses ACL 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023 Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023 Enhancing Network by Reinforcement Learning and Neural Confined Local Search IJCAI 2023 Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks EMNLP 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay ICML 2023 Evolving Populations of Diverse RL Agents with MAP-Elites ICLR 2023 EXCALIBUR: Encouraging and Evaluating Embodied Exploration CVPR 2023 Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking EMNLP 2023 Explaining Reinforcement Learning with Shapley Values ICML 2023 Exploiting Proximity-Aware Tasks for Embodied Social Navigation ICCV 2023 Exploration in Reward Machines with Low Regret AISTATS 2023 Exploration via Epistemic Value Estimation AAAI 2023 Explore to Generalize in Zero-Shot RL NeurIPS 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023 Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach ACL 2023 Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback ACL 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023 Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning NeurIPS 2023