SOTAVerified

Model-based Reinforcement Learning

Papers

Showing 125 of 708 papers

TitleStatusHype
SPO: Sequential Monte Carlo Policy OptimisationCode3
Planning with Diffusion for Flexible Behavior SynthesisCode3
iVideoGPT: Interactive VideoGPTs are Scalable World ModelsCode2
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement LearningCode2
Mastering Memory Tasks with World ModelsCode2
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance DesignCode2
TD-MPC2: Scalable, Robust World Models for Continuous ControlCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
MBRL-Lib: A Modular Library for Model-based Reinforcement LearningCode2
Learning Accurate Long-term Dynamics for Model-based Reinforcement LearningCode2
Learning to Predict Without Looking Ahead: World Models Without Forward PredictionCode2
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics ModelsCode2
Probabilistically safe and efficient model-based Reinforcement LearningCode1
Dream to Drive with Predictive Individual World ModelCode1
Diminishing Return of Value Expansion MethodsCode1
Zero-shot Model-based Reinforcement Learning using Large Language ModelsCode1
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics ModelsCode1
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter EfficientCode1
Learning Discrete World Models for Heuristic SearchCode1
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory controlCode1
A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC ControlCode1
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearchCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Learning Latent Dynamic Robust Representations for World ModelsCode1
CompilerDream: Learning a Compiler World Model for General Code OptimizationCode1
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