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Model-based Reinforcement Learning

Papers

Showing 351–400 of 708 papers

TitleStatusHype
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention—0
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning—0
Procedural Generalization by Planning with Self-Supervised World Models—0
Model based Multi-agent Reinforcement Learning with Tensor Decompositions—0
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical RepresentationsCode1
Learning Robust Controllers Via Probabilistic Model-Based Policy Search—0
Multitask Adaptation by Retrospective Exploration with Learned World Models—0
Operator Shifting for Model-based Policy Evaluation—0
Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level—0
Variational Predictive Routing with Nested Subjective Timescales—0
Improving Hyperparameter Optimization by Planning Ahead—0
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation—0
Safe Reinforcement Learning Using Robust Control Barrier FunctionsCode1
Revisiting Design Choices in Offline Model-Based Reinforcement Learning—0
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver—0
Mismatched No More: Joint Model-Policy Optimization for Model-Based RLCode1
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks—0
Cycle-Consistent World Models for Domain Independent Latent Imagination—0
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems—0
Model-based Reinforcement Learning with Ensembled Model-value Expansion—0
Planning in Stochastic Environments with a Learned ModelCode1
Fully Decentralized Model-based Policy Optimization with Networked Agents—0
MOBA: Multi-teacher Model Based Reinforcement Learning—0
Gradient Information Matters in Policy Optimization by Back-propagating through ModelCode0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Learning Dynamics Models for Model Predictive Agents—0
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control—0
Plug and Play, Model-Based Reinforcement Learning—0
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning—0
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning—0
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control—0
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?Code1
Know Thyself: Transferable Visual Control Policies Through Robot-AwarenessCode1
High-Accuracy Model-Based Reinforcement Learning, a Survey—0
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided ExplorationCode0
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning—0
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement LearningCode1
Learning Task Informed AbstractionsCode1
Causal Reinforcement Learning using Observational and Interventional DataCode1
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 Evolution—0
Model-Based Reinforcement Learning via Latent-Space CollocationCode1
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving—0
Lifted Model Checking for Relational MDPs—0
Proper Value EquivalenceCode0
Temporal Predictive Coding For Model-Based Planning In Latent SpaceCode1
Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space—0
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