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Model-based Reinforcement Learning

Papers

Showing 101125 of 708 papers

TitleStatusHype
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEsCode1
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian ProcessesCode1
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and PlanningCode1
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement LearningCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Delay-Aware Model-Based Reinforcement Learning for Continuous ControlCode1
Dynamics-Aware Unsupervised Skill DiscoveryCode1
Model-Predictive Control via Cross-Entropy and Gradient-Based OptimizationCode1
Neural Game Engine: Accurate learning of generalizable forward models from pixelsCode1
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated PriorsCode1
Objective Mismatch in Model-based Reinforcement LearningCode1
Dynamics-Aware Unsupervised Discovery of SkillsCode1
When to Trust Your Model: Model-Based Policy OptimizationCode1
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement LearningCode1
TransDreamerV3: Implanting Transformer In DreamerV3Code0
On Quantum BSDE Solver for High-Dimensional Parabolic PDEs0
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis0
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization0
Bregman Centroid Guided Cross-Entropy Method0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks0
Calibrated Value-Aware Model Learning with Stochastic Environment Models0
Deep Active Inference Agents for Delayed and Long-Horizon EnvironmentsCode0
MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support0
JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning0
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)0
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