:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, JiaHao, Yu, ShengWen
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2511.06500
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning
by: Srisuchinnawong, Arthicha, et al.
Published: (2025)

Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
by: Timmerman, Mike, et al.
Published: (2024)

Homogeneous Proportional-Integral-Derivative Controller in Mobile Robotic Manipulators
by: Luna, Luis, et al.
Published: (2025)

Tune to Learn: How Controller Gains Shape Robot Policy Learning
by: Bronars, Antonia, et al.
Published: (2026)

Constrained PSO Six-Parameter Fuzzy PID Tuning Method for Balanced Optimization of Depth Tracking Performance in Underwater Vehicles
by: Ding, Yanxi, et al.
Published: (2026)

Surrogate Model-Based Near-Optimal Gain Selection for Approach-Angle-Constrained Two-Phase Pure Proportional Navigation
by: Roy, Abhigyan, et al.
Published: (2026)

SAGE:State-Aware Guided End-to-End Policy for Multi-Stage Sequential Tasks via Hidden Markov Decision Process
by: Wu, BinXu, et al.
Published: (2025)

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
by: Cheng, Xiang, et al.
Published: (2024)

OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
by: Sanghvi, Hersh, et al.
Published: (2024)

Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
by: Sönmez, Serhat, et al.
Published: (2025)

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control
by: Krishna, Lokesh, et al.
Published: (2025)

Dynamic Grasping with a Learned Meta-Controller
by: Jia, Yinsen, et al.
Published: (2023)

Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning
by: Li, Baoyu, et al.
Published: (2024)

Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception
by: Liu, Yandi, et al.
Published: (2025)

Motion Adaptation Across Users and Tasks for Exoskeletons via Meta-Learning
by: Ma, Muyuan, et al.
Published: (2025)

Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
by: Kim, Taekyung, et al.
Published: (2024)

On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
by: Liu, Changyu, et al.
Published: (2026)

Intelligent Singularity Avoidance in UR10 Robotic Arm Path Planning Using Hybrid Fuzzy Logic and Reinforcement Learning
by: Chen, Sheng-Kai, et al.
Published: (2026)

Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
by: Honari, Homayoun, et al.
Published: (2024)

Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
by: Tsuchiya, Yuki, et al.
Published: (2024)

A Learning-based Quadcopter Controller with Extreme Adaptation
by: Zhang, Dingqi, et al.
Published: (2024)

A Mobile Magnetic Manipulation Platform for Gastrointestinal Navigation with Deep Reinforcement Learning Control
by: Yan, Zhifan, et al.
Published: (2026)

Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
by: Wan, Weikang, et al.
Published: (2025)

Beyond Imitation: Reinforcement Learning Fine-Tuning for Adaptive Diffusion Navigation Policies
by: Sheng, Junhe, et al.
Published: (2026)

Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control
by: Ju, Siwei, et al.
Published: (2026)

Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization
by: Nan, Fang, et al.
Published: (2025)

Reinforcement Learning for Adaptive Planner Parameter Tuning: A Perspective on Hierarchical Architecture
by: Wangtao, Lu, et al.
Published: (2025)

Learning and Adaptation in Wire Arc Additive Manufacturing Bead Geometry Control
by: Lu, Chen-Lung, et al.
Published: (2026)

Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO
by: Elgouhary, Mohamed, et al.
Published: (2026)

Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration
by: Wang, Xiaorui, et al.
Published: (2026)

I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
by: Yan, Yashuai, et al.
Published: (2024)

Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions
by: Wang, Xinyi, et al.
Published: (2026)

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
by: Tao, Ran, et al.
Published: (2023)

Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
by: Kim, Dohyun, et al.
Published: (2025)

Model Adaptation for Time Constrained Embodied Control
by: Song, Jaehyun, et al.
Published: (2024)

Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)
by: Şahin, Hürkan, et al.
Published: (2026)

Adaptive Guidance with Reinforcement Meta-Learning
by: Gaudet, Brian, et al.
Published: (2019)

Reinforcement Learning‐Based Model Predictive Path Integral Control for Obstacle Avoidance of Autonomous Underwater Vehicles
by: Jintao Zhao, et al.
Published: (2025)

Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
by: Szep, Marton, et al.
Published: (2022)