Reinforcement Learning

Sequential Counterfactual Risk Minimization ICML 2023 Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback NeurIPS 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes COLT 2023 Simultaneous Machine Translation with Tailored Reference EMNLP 2023 Small batch deep reinforcement learning NeurIPS 2023 State Regularized Policy Optimization on Data with Dynamics Shift NeurIPS 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023 Stochastic Generative Flow Networks UAI 2023 S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction ICCV 2023 Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023 Synthetic Experience Replay NeurIPS 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023 Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning EMNLP 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023 Theory of Mind for Multi-Agent Collaboration via Large Language Models EMNLP 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 The Role of Coverage in Online Reinforcement Learning ICLR 2023