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Model-Based RL

12 papers

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Papers

Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Posterior Sampling for Deep Reinforcement Learning ICML 2023
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NIPS 2022
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation AAAI 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NIPS 2021
Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NIPS 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NIPS 2019
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NIPS 2018
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NIPS 2017
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012