Reinforcement Learning

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NeurIPS 2023 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 Bi-Level Offline Policy Optimization with Limited Exploration NeurIPS 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023 Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023 Boosting Punctuation Restoration with Data Generation and Reinforcement Learning Interspeech 2023 Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks NeurIPS 2023 Bounding the optimal value function in compositional reinforcement learning UAI 2023 Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback NeurIPS 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 BRExIt: On Opponent Modelling in Expert Iteration IJCAI 2023 BridgeData V2: A Dataset for Robot Learning at Scale CoRL 2023 Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics RSS 2023 Bridging RL Theory and Practice with the Effective Horizon NeurIPS 2023 Budgeting Counterfactual for Offline RL NeurIPS 2023 Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning IJCAI 2023 Building a Subspace of Policies for Scalable Continual Learning ICLR 2023 Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller CoRL 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning NeurIPS 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR 2023