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conftrace_

model-based reinforcement learning

521 papers

MBRL MODEL-BASED RL

Papers

Planning with Diffusion for Flexible Behavior Synthesis ICML 2022 Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NeurIPS 2022 Policy Optimization with Linear Temporal Logic Constraints NeurIPS 2022 Procedural generalization by planning with self-supervised world models ICLR 2022 RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NeurIPS 2022 Regret guarantees for model-based reinforcement learning with long-term average constraints UAI 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022 Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Skill-based Model-based Reinforcement Learning CoRL 2022 SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NeurIPS 2022 Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning CoRL 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning NeurIPS 2022 Value Gradient weighted Model-Based Reinforcement Learning ICLR 2022 When to Update Your Model: Constrained Model-based Reinforcement Learning NeurIPS 2022 A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning NeurIPS 2021 A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021 A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021 Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021