Cover Image

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sonker, Rohit, Capone, Alexandre, Rothstein, Andrew, Kaga, Hiro Josep Farre, Kolemen, Egemen, Schneider, Jeff
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
by: Sonker, Rohit, et al.
Published: (2026)

Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability
by: Farre-Kaga, Hiro J, et al.
Published: (2025)

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
by: Char, Ian, et al.
Published: (2024)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)

Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
by: Rothstein, Andrew, et al.
Published: (2025)

Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks
by: Chen, Nathaniel, et al.
Published: (2025)

A Novel Multi-Timescale Stability-Preserving Hierarchical Reinforcement Learning Controller Framework for Adaptive Control in High-Dimensional Dynamical Systems
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2025)

Multi-Timescale Model Predictive Control for Slow-Fast Systems
by: Schroth, Lukas, et al.
Published: (2025)

Learning Safe Control via On-the-Fly Bandit Exploration
by: Capone, Alexandre, et al.
Published: (2025)

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
by: Kapoor, Aditya, et al.
Published: (2024)

Proactive Route Planning for Electric Vehicles
by: Nasehi, Saeed, et al.
Published: (2024)

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

Counter-Geoengineering: Feasibility and Policy Implications for a Geoengineered World
by: de Bolle, Felipe, et al.
Published: (2024)

GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search
by: Bakshi, Nikhil Angad, et al.
Published: (2023)

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
by: Wang, Yiqi, et al.
Published: (2025)

Planning with Adaptive World Models for Autonomous Driving
by: Vasudevan, Arun Balajee, et al.
Published: (2024)

Theoretical Closed-loop Stability Bounds for Dynamical System Coupled with Diffusion Policies
by: Lauzier, Gabriel, et al.
Published: (2025)

Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents
by: Banerjee, Arundhati, et al.
Published: (2024)

Vision-Conditioned Variational Bayesian Last Layer Dynamics Models
by: Brunzema, Paul, et al.
Published: (2026)

Parallelized Real-time Physics Codes for Plasma Control on DIII-D
by: Rothstein, A., et al.
Published: (2025)

Heteroscedastic Bayesian Optimization-Based Dynamic PID Tuning for Accurate and Robust UAV Trajectory Tracking
by: Gu, Fuqiang, et al.
Published: (2025)

Multi-Task Bayesian Optimization for Tuning Decentralized Trajectory Generation in Multi-UAV Systems
by: Manzoni, Marta, et al.
Published: (2025)

Preferential Bayesian Optimization with Crash Feedback
by: Menn, Johanna, et al.
Published: (2026)

A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization
by: Paine, Tyler M., et al.
Published: (2023)

Gaussian Mixture Models for Affordance Learning using Bayesian Networks
by: Osório, Pedro, et al.
Published: (2024)

TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint
by: Lin, Haotian, et al.
Published: (2025)

Robotic Optimization of Powdered Beverages Leveraging Computer Vision and Bayesian Optimization
by: Szymanska, Emilia, et al.
Published: (2024)

Bayesian Optimization with Adaptive Kernels for Robot Control
by: Martinez-Cantin, Ruben
Published: (2024)

Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
by: Concha, David Molina, et al.
Published: (2024)

Mr.MSTE: Multi-robot Multi-Source Term Estimation with Wind-Aware Coverage Control
by: Nanavati, Rohit V., et al.
Published: (2025)

A Dual-Motor Actuator for Ceiling Robots with High Force and High Speed Capabilities
by: Lalonde, Ian, et al.
Published: (2024)

Guided Multi-Fidelity Bayesian Optimization for Data-driven Controller Tuning with Digital Twins
by: Nobar, Mahdi, et al.
Published: (2025)

Integrating Sample Inheritance into Bayesian Optimization for Evolutionary Robotics
by: de Bruin, K. Ege, et al.
Published: (2026)

Parallel Transmission Aware Co-Design: Enhancing Manipulator Performance Through Actuation-Space Optimization
by: Kumar, Rohit, et al.
Published: (2025)

Measure Preserving Flows for Ergodic Search in Convoluted Environments
by: Xu, Albert, et al.
Published: (2024)

Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution
by: Raxit, Sourav, et al.
Published: (2026)

Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
by: Tan, Kaige, et al.
Published: (2024)

Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis
by: Taddei, Sophia, et al.
Published: (2026)

Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation
by: Röfer, Adrian, et al.
Published: (2024)

Dynamic Modeling and Dimensional Optimization of Legged Mechanisms for Construction Robot
by: Liu, Xiao, et al.
Published: (2025)