Reinforcement Learning

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NeurIPS 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area CoRL 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NeurIPS 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023 Continual Vision-based Reinforcement Learning with Group Symmetries CoRL 2023 Continuous-Time Decision Transformer for Healthcare Applications AISTATS 2023 Continuous Versatile Jumping Using Learned Action Residuals L4DC 2023 ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023 Contrastive Example-Based Control L4DC 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Contrastive Learning and Reward Smoothing for Deep Portfolio Management IJCAI 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL NeurIPS 2023 Contrastive Value Learning: Implicit Models for Simple Offline RL CoRL 2023 Controllability-Aware Unsupervised Skill Discovery ICML 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning IJCAI 2023 Convergence of Actor-Critic with Multi-Layer Neural Networks NeurIPS 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Conversational Tree Search: A New Hybrid Dialog Task EACL 2023 Convex-Concave Zero-Sum Markov Stackelberg Games NeurIPS 2023 Convex Reinforcement Learning in Finite Trials JMLR 2023 ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format EMNLP 2023