Methods

Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently ICML 2020 MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification IJCAI 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI 2020 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NeurIPS 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning ICML 2020 Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning ICLR 2020 Maxmin Q-learning: Controlling the Estimation Bias of Q-learning ICLR 2020 MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NeurIPS 2020 Measuring the Reliability of Reinforcement Learning Algorithms ICLR 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 MELD: Meta-Reinforcement Learning from Images via Latent State Models CoRL 2020 Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NeurIPS 2020 Meta-Gradient Reinforcement Learning with an Objective Discovered Online NeurIPS 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Meta-Q-Learning ICLR 2020 Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020 Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies ICLR 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Minimax Weight and Q-Function Learning for Off-Policy Evaluation ICML 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020