Methods

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 Counterexample Guided RL Policy Refinement Using Bayesian Optimization NeurIPS 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs EMNLP 2021 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 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 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CoRL 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 Decoupling Representation Learning from Reinforcement Learning ICML 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021