model-based reinforcement learning

Model-Augmented Actor-Critic: Backpropagating through Paths ICLR 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 Atari 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-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 Objective Mismatch in Model-based Reinforcement Learning L4DC 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals NeurIPS 2020 Planning to Explore via Self-Supervised World Models ICML 2020 Planning with Abstract Learned Models While Learning Transferable Subtasks AAAI 2020 Predictive Coding for Locally-Linear Control ICML 2020 Provably Efficient Model-based Policy Adaptation ICML 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Reinforcement Learning with Feedback Graphs NeurIPS 2020 Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020 Sample-efficient Cross-Entropy Method for Real-time Planning CoRL 2020 Selective Dyna-Style Planning Under Limited Model Capacity ICML 2020