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Model-based Reinforcement Learning

Papers

Showing 426450 of 708 papers

TitleStatusHype
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks0
Learning-to-defer for sequential medical decision-making under uncertainty0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing0
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control0
Plug and Play, Model-Based Reinforcement Learning0
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning0
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning0
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control0
High-Accuracy Model-Based Reinforcement Learning, a Survey0
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided ExplorationCode0
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning0
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and PracticeCode0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution0
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving0
Lifted Model Checking for Relational MDPs0
Proper Value EquivalenceCode0
Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space0
Detecting and Adapting to Novelty in Games0
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles0
Revisiting Design Choices in Offline Model Based Reinforcement Learning0
Learning Modular Robot Control PoliciesCode0
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing ProcessesCode0
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning0
Data-Efficient Reinforcement Learning for Malaria Control0
Planning with Expectation Models for Control0
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