Methods

Model-Augmented Actor-Critic: Backpropagating through Paths ICLR 2020 Model-Based Inverse Reinforcement Learning from Visual Demonstrations CoRL 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Model-based Policy Optimization with Unsupervised Model Adaptation NeurIPS 2020 Model-based reinforcement learning for biological sequence design ICLR 2020 Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous CoRL 2020 Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs NeurIPS 2020 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020 Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020 Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020 Modeling Protagonist Emotions for Emotion-Aware Storytelling EMNLP 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words AAAI 2020 Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020 Modular Robot Design Synthesis with Deep Reinforcement Learning AAAI 2020 Momentum-Based Policy Gradient Methods ICML 2020 Momentum in Reinforcement Learning AISTATS 2020 Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020 Monte-Carlo Graph Search: the Value of Merging Similar States ACML 2020 Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 MOReL: Model-Based Offline Reinforcement Learning NeurIPS 2020