Reinforcement Learning

Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Control Variates for Slate Off-Policy Evaluation NeurIPS 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions COLT 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021 Coordinated Proximal Policy Optimization NeurIPS 2021 Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021 CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum NeurIPS 2021 Correcting experience replay for multi-agent communication ICLR 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Counterexample Guided RL Policy Refinement Using Bayesian Optimization NeurIPS 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Coupling Intent and Action for Pedestrian Crossing Behavior Prediction IJCAI 2021 CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs EMNLP 2021 Cross-domain Imitation from Observations ICML 2021 Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NeurIPS 2021 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021 Curious Representation Learning for Embodied Intelligence ICCV 2021 Curriculum Learning for Vision-and-Language Navigation NeurIPS 2021 Curriculum Offline Imitating Learning NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021 Dealing with the Unknown: Pessimistic Offline Reinforcement Learning CoRL 2021