Policy Learning

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning NeurIPS 2023 Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback NeurIPS 2023 Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023 Enhanced Simultaneous Machine Translation with Word-level Policies EMNLP 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 Task-oriented Dialogue Systems with Generative Post-processing Networks EMNLP 2023 Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay ICML 2023 Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023 Exploration in Reward Machines with Low Regret AISTATS 2023 Explore to Generalize in Zero-Shot RL NeurIPS 2023 Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning ACML 2023 Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CoRL 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 Finite-sample guarantees for Nash Q-learning with linear function approximation UAI 2023 Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning NeurIPS 2023 FlowPG: Action-constrained Policy Gradient with Normalizing Flows NeurIPS 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation AAAI 2023 For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023