Reinforcement Learning

Communicating via Markov Decision Processes ICML 2022 Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games ICLR 2022 Complex Video Action Reasoning via Learnable Markov Logic Network CVPR 2022 Composing Ci with Reinforced Non-autoregressive Text Generation EMNLP 2022 Compositional Generalization in Grounded Language Learning via Induced Model Sparsity NAACL 2022 CoMPS: Continual Meta Policy Search ICLR 2022 Computational-Statistical Gap in Reinforcement Learning COLT 2022 Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems AAAI 2022 Concept Learning for Interpretable Multi-Agent Reinforcement Learning CoRL 2022 Confident Approximate Policy Iteration for Efficient Local Planning in q^π-realizable MDPs NeurIPS 2022 Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022 Conformal Off-Policy Prediction in Contextual Bandits NeurIPS 2022 Conjugated Discrete Distributions for Distributional Reinforcement Learning AAAI 2022 CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning EMNLP 2022 Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022 Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NeurIPS 2022 Constrained Contrastive Reinforcement Learning ACML 2022 Constrained GPI for Zero-Shot Transfer in Reinforcement Learning NeurIPS 2022 Constrained Offline Policy Optimization ICML 2022 Constrained Policy Optimization via Bayesian World Models ICLR 2022 Constrained Update Projection Approach to Safe Policy Optimization NeurIPS 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022 Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning AAAI 2022 Constraints Penalized Q-learning for Safe Offline Reinforcement Learning AAAI 2022 Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates ICLR 2022