Model-Based RL

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL ICLR 2021 Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers ICLR 2021 Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NeurIPS 2021 Mastering Atari with Discrete World Models ICLR 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Model-Based Offline Planning ICLR 2021 On the role of planning in model-based deep reinforcement learning ICLR 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Reset-Free Lifelong Learning with Skill-Space Planning ICLR 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020 Monte-Carlo Graph Search: the Value of Merging Similar States ACML 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019 Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NeurIPS 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Approximate Value Iteration with Temporally Extended Actions (Extended Abstract) IJCAI 2017 Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NeurIPS 2017 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Sample Efficient Path Integral Control under Uncertainty NeurIPS 2015