model-based reinforcement learning

COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Continuous-time Model-based Reinforcement Learning ICML 2021 Control-Aware Representations for Model-based Reinforcement Learning ICLR 2021 Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Discovering and Achieving Goals via World Models NeurIPS 2021 Domain Adaptation Using System Invariant Dynamics Models L4DC 2021 Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks CoRL 2021 Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers ICLR 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism IJCAI 2021 Learning and Planning in Complex Action Spaces ICML 2021 Learning Behaviors through Physics-driven Latent Imagination CoRL 2021 Learning Off-Policy with Online Planning CoRL 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Learning Task Informed Abstractions ICML 2021 Learning To Drive From a World on Rails ICCV 2021 Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CoRL 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention CoRL 2021 Mastering Atari Games with Limited Data NeurIPS 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Minimax Model Learning AISTATS 2021 Model-Based Episodic Memory Induces Dynamic Hybrid Controls NeurIPS 2021 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? ICLR 2021