XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yiting, Li, Shichen, Shrestha, Elena
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Certifiably Safe Manipulation of Deformable Linear Objects via Joint Shape and Tension Prediction
di: Zhang, Yiting, et al.
Pubblicazione: (2025)

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
di: Poudel, Bibek, et al.
Pubblicazione: (2023)

Dual-Granularity Contrastive Reward via Generated Episodic Guidance for Efficient Embodied RL
di: Liu, Xin, et al.
Pubblicazione: (2026)

Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
di: Ye, Linqi, et al.
Pubblicazione: (2025)

FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
di: Kim, Sungha, et al.
Pubblicazione: (2026)

Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
di: Ding, Shutong, et al.
Pubblicazione: (2026)

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
di: Bhatt, Dwait, et al.
Pubblicazione: (2026)

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
di: Liang, Anthony, et al.
Pubblicazione: (2024)

Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
di: Mao, Yiting, et al.
Pubblicazione: (2025)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
di: Sikchi, Harshit, et al.
Pubblicazione: (2023)

PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
di: Gyenes, Balázs, et al.
Pubblicazione: (2024)

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
di: Rafailov, Rafael, et al.
Pubblicazione: (2024)

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
di: Dittert, Sebastian, et al.
Pubblicazione: (2024)

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
di: Guo, Qingyun, et al.
Pubblicazione: (2026)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
di: Lei, Kun, et al.
Pubblicazione: (2025)

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
di: Mirkhani, Hamidreza, et al.
Pubblicazione: (2025)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
di: He, Yiting, et al.
Pubblicazione: (2025)

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
di: Amiri, Mohsen, et al.
Pubblicazione: (2026)

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
di: Wang, Yufei, et al.
Pubblicazione: (2024)

ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
di: Romeo, Carlo, et al.
Pubblicazione: (2026)

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
di: Li, Haozhan, et al.
Pubblicazione: (2025)

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
di: Li, Huanyu, et al.
Pubblicazione: (2026)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
di: Rowe, Luke, et al.
Pubblicazione: (2024)

Near-Driven Autonomous Rover Navigation in Complex Environments: Extensions to Urban Search-and-Rescue and Industrial Inspection
di: Shrestha, Dhadkan, et al.
Pubblicazione: (2025)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
di: Acero, Fernando, et al.
Pubblicazione: (2024)

Assuring the Safety of Reinforcement Learning Components: AMLAS-RL
di: Imrie, Calum Corrie, et al.
Pubblicazione: (2025)

VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
di: Lintunen, Erik M.
Pubblicazione: (2025)

RSL-RL: A Learning Library for Robotics Research
di: Schwarke, Clemens, et al.
Pubblicazione: (2025)

Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
di: Gao, Tianci, et al.
Pubblicazione: (2024)

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

Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
di: Robertshaw, Harry, et al.
Pubblicazione: (2025)

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware
di: Stewart, Kenneth, et al.
Pubblicazione: (2025)

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
di: Tao, Stone, et al.
Pubblicazione: (2024)

Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
di: Mabsout, Bassel El, et al.
Pubblicazione: (2025)

RL Token: Bootstrapping Online RL with Vision-Language-Action Models
di: Xu, Charles, et al.
Pubblicazione: (2026)

A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
di: Shibayama, Takato, et al.
Pubblicazione: (2026)

From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
di: Li, Zhuofan, et al.
Pubblicazione: (2026)

Filtering Learning Histories Enhances In-Context Reinforcement Learning
di: Chen, Weiqin, et al.
Pubblicazione: (2025)

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
di: Grigorescu, Sorin, et al.
Pubblicazione: (2025)

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
di: Yang, Lizhi, et al.
Pubblicazione: (2025)