Reinforcement Learning

Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causal Influence Detection for Improving Efficiency in Reinforcement Learning NeurIPS 2021 Cautious Actor-Critic ACML 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021 Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NeurIPS 2021 Certification of iterative predictions in Bayesian neural networks UAI 2021 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space IJCAI 2021 ChainerRL: A Deep Reinforcement Learning Library JMLR 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 C-Learning: Horizon-Aware Cumulative Accessibility Estimation ICLR 2021 C-Learning: Learning to Achieve Goals via Recursive Classification ICLR 2021 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning NeurIPS 2021 Collaborating with Humans without Human Data NeurIPS 2021 Collect & Infer - a fresh look at data-efficient Reinforcement Learning CoRL 2021 ColorRL: Reinforced Coloring for End-to-End Instance Segmentation CVPR 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 Combining Reinforcement Learning and Causal Models for Robotics Applications IJCAI 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem AAAI 2021 Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings CVPR 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021