Deep RL

Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic ICML 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 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 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 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller CoRL 2023 Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories ICLR 2023 Causal Policy Gradient for Whole-Body Mobile Manipulation RSS 2023 Cell-Free Latent Go-Explore ICML 2023 CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023 CFlowNets: Continuous Control with Generative Flow Networks ICLR 2023 Cherry-Picking with Reinforcement Learning RSS 2023 Choreographer: Learning and Adapting Skills in Imagination ICLR 2023 ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations ACL 2023 Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces AISTATS 2023 Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards AAAI 2023 Combinatorial Optimization with Policy Adaptation using Latent Space Search NeurIPS 2023 Complex Contagion Influence Maximization: A Reinforcement Learning Approach IJCAI 2023 Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable AAAI 2023 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023