Methods

Cherry-Picking with Reinforcement Learning RSS 2023 ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023 Choreographer: Learning and Adapting Skills in Imagination ICLR 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning ICLR 2023 ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations ACL 2023 CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces L4DC 2023 CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CoRL 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 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023 Complementary Attention for Multi-Agent Reinforcement Learning ICML 2023 Complex Contagion Influence Maximization: A Reinforcement Learning Approach IJCAI 2023 Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control NeurIPS 2023 Composing Efficient, Robust Tests for Policy Selection UAI 2023 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 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 Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation RSS 2023 Conditional abstraction trees for sample-efficient reinforcement learning UAI 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 Conservative Offline Policy Adaptation in Multi-Agent Games NeurIPS 2023 Conservative State Value Estimation for Offline Reinforcement Learning NeurIPS 2023