model-based reinforcement learning

An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 Approximate Value Equivalence NeurIPS 2022 A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022 A Simple Decentralized Cross-Entropy Method NeurIPS 2022 A Unified Framework for Alternating Offline Model Training and Policy Learning NeurIPS 2022 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments CoRL 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022 Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NeurIPS 2022 Constrained Contrastive Reinforcement Learning ACML 2022 Constrained Policy Optimization via Bayesian World Models ICLR 2022 Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation AAAI 2022 DayDreamer: World Models for Physical Robot Learning CoRL 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NeurIPS 2022 DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations ICML 2022 Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022 Exploration via Planning for Information about the Optimal Trajectory NeurIPS 2022 Exponential Family Model-Based Reinforcement Learning via Score Matching NeurIPS 2022 Generalised Policy Improvement with Geometric Policy Composition ICML 2022 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022