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Model-based Reinforcement Learning

Papers

Showing 150 of 708 papers

TitleStatusHype
SPO: Sequential Monte Carlo Policy OptimisationCode3
Planning with Diffusion for Flexible Behavior SynthesisCode3
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance DesignCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
Learning Accurate Long-term Dynamics for Model-based Reinforcement LearningCode2
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement LearningCode2
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics ModelsCode2
Learning to Predict Without Looking Ahead: World Models Without Forward PredictionCode2
Mastering Memory Tasks with World ModelsCode2
iVideoGPT: Interactive VideoGPTs are Scalable World ModelsCode2
MBRL-Lib: A Modular Library for Model-based Reinforcement LearningCode2
TD-MPC2: Scalable, Robust World Models for Continuous ControlCode2
Learning safety in model-based Reinforcement Learning using MPC and Gaussian ProcessesCode1
Learning Discrete World Models for Heuristic SearchCode1
Learning Task Informed AbstractionsCode1
Know Thyself: Transferable Visual Control Policies Through Robot-AwarenessCode1
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving IntelligenceCode1
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement LearningCode1
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningCode1
Causal Reinforcement Learning using Observational and Interventional DataCode1
HarmonyDream: Task Harmonization Inside World ModelsCode1
Control-Oriented Model-Based Reinforcement Learning with Implicit DifferentiationCode1
Continuous-Time Model-Based Reinforcement LearningCode1
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated PriorsCode1
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and PlanningCode1
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement LearningCode1
Curious Replay for Model-based AdaptationCode1
Learning Latent Dynamic Robust Representations for World ModelsCode1
Learning Neuro-Symbolic Relational Transition Models for Bilevel PlanningCode1
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearchCode1
Hyperbolic VAE via Latent Gaussian DistributionsCode1
Dynamics-Aware Unsupervised Discovery of SkillsCode1
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlowCode1
Dream and Search to Control: Latent Space Planning for Continuous ControlCode1
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical RepresentationsCode1
An Experimental Design Perspective on Model-Based Reinforcement LearningCode1
Dream to Drive with Predictive Individual World ModelCode1
Causal Dynamics Learning for Task-Independent State AbstractionCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Bridging Imagination and Reality for Model-Based Deep Reinforcement LearningCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
A Distributional Analogue to the Successor RepresentationCode1
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement LearningCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC ControlCode1
Dynamics-Aware Unsupervised Skill DiscoveryCode1
Diminishing Return of Value Expansion MethodsCode1
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement LearningCode1
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learningCode1
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