model-based reinforcement learning

Information Prioritization through Empowerment in Visual Model-based RL ICLR 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022 Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NeurIPS 2022 Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022 Masked World Models for Visual Control CoRL 2022 Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NeurIPS 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 Model-augmented Prioritized Experience Replay ICLR 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization ICLR 2022 Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NeurIPS 2022 Model-Based Opponent Modeling NeurIPS 2022 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NeurIPS 2022 Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NeurIPS 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022 Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022 On-Policy Model Errors in Reinforcement Learning ICLR 2022 Operator Splitting Value Iteration NeurIPS 2022 Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022 PDSketch: Integrated Domain Programming, Learning, and Planning NeurIPS 2022 Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage ICLR 2022 Planning in Stochastic Environments with a Learned Model ICLR 2022