Cover Image

Model-Based Reinforcement Learning for Control under Time-Varying Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iten, Klemens, Lee, Bruce, Li, Chenhao, Treven, Lenart, Krause, Andreas, Sukhija, Bhavya
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample-efficient and Scalable Exploration in Continuous-Time RL
by: Iten, Klemens, et al.
Published: (2025)

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
by: As, Yarden, et al.
Published: (2024)

Bridging the Sim-to-Real Gap with Bayesian Inference
by: Rothfuss, Jonas, et al.
Published: (2024)

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
by: Treven, Lenart, et al.
Published: (2024)

TARC: Time-Adaptive Robotic Control
by: Sukhija, Arnav, et al.
Published: (2025)

Transductive Active Learning: Theory and Applications
by: Hübotter, Jonas, et al.
Published: (2024)

Learning Soft Robotic Dynamics with Active Exploration
by: Zheng, Hehui, et al.
Published: (2025)

Active Few-Shot Fine-Tuning
by: Hübotter, Jonas, et al.
Published: (2024)

NeoRL: Efficient Exploration for Nonepisodic RL
by: Sukhija, Bhavya, et al.
Published: (2024)

SOMBRL: Scalable and Optimistic Model-Based RL
by: Sukhija, Bhavya, et al.
Published: (2025)

Simulation Priors for Data-Efficient Deep Learning
by: Treven, Lenart, et al.
Published: (2025)

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
by: Bhardwaj, Arjun, et al.
Published: (2023)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
by: Sukhija, Bhavya, et al.
Published: (2024)

Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)

Safe Exploration Using Bayesian World Models and Log-Barrier Optimization
by: As, Yarden, et al.
Published: (2024)

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
by: Li, Chenhao, et al.
Published: (2025)

Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
by: Li, Chenhao, et al.
Published: (2025)

Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
by: Bao, Kaixi, et al.
Published: (2025)

Optimistic Online LQR via Intrinsic Rewards
by: Bartos, Marcell, et al.
Published: (2026)

Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
by: Olivares, David, et al.
Published: (2024)

Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2021)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, et al.
Published: (2025)

NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
by: Albaba, Mert, et al.
Published: (2025)

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
by: Kotecha, Prakrut, et al.
Published: (2026)

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
by: Lei, Kun, et al.
Published: (2023)

Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
by: Luu, Tung Minh, et al.
Published: (2025)

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)

Differentiable Information Enhanced Model-Based Reinforcement Learning
by: Zhang, Xiaoyuan, et al.
Published: (2025)

Constraint-Enhanced Reinforcement Learning Based on Dynamic Decoupled Spherical Radial Squashing
by: Liao, Qijun, et al.
Published: (2026)

Reinforcement Learning with Elastic Time Steps
by: Wang, Dong, et al.
Published: (2024)

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
by: Huang, Suning, et al.
Published: (2024)

Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
by: Moustafa, Emran Yasser, et al.
Published: (2025)

Ask1: Development and Reinforcement Learning-Based Control of a Custom Quadruped Robot
by: Zhang, Yang, et al.
Published: (2024)

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
by: Xu, Ruichen, et al.
Published: (2024)

Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
by: Jawale, Neel, et al.
Published: (2024)

MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation
by: Zargarbashi, Fatemeh, et al.
Published: (2024)

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
by: Saviolo, Alessandro, et al.
Published: (2022)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
by: Bayrooti, Jasmine, et al.
Published: (2024)