Cover Image

Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Hao, Zhang, Yanze, Luo, Wenhao
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

Safety-Critical Control with Uncertainty Quantification using Adaptive Conformal Prediction
by: Zhou, Hao, et al.
Published: (2024)

Capability-Aware Heterogeneous Control Barrier Functions for Decentralized Multi-Robot Safe Navigation
by: Kim, Joonkyung, et al.
Published: (2026)

Occlusion-Free Image Based Visual Servoing using Probabilistic Control Barrier Certificates
by: Zhang, Yanze, et al.
Published: (2023)

Adaptive Deadlock Avoidance for Decentralized Multi-agent Systems via CBF-inspired Risk Measurement
by: Zhang, Yanze, et al.
Published: (2025)

Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
by: Yang, Yupeng, et al.
Published: (2024)

Sample-Efficient Safety Assurances using Conformal Prediction
by: Luo, Rachel, et al.
Published: (2021)

Geometry-Aware Control Barrier Functions for Collision Avoidance via Bernstein Polynomial Approximations
by: Jo, Siwon, et al.
Published: (2026)

Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty
by: Yang, Yupeng, et al.
Published: (2024)

Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction
by: Sheng, Shili, et al.
Published: (2024)

Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments
by: Shin, Jaeuk, et al.
Published: (2025)

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

Safe Navigation in Dynamic Environments Using Data-Driven Koopman Operators and Conformal Prediction
by: Liang, Kaier, et al.
Published: (2025)

SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
by: Yao, Jianpeng, et al.
Published: (2024)

SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
by: Doula, Achref, et al.
Published: (2025)

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
by: Chen, Zhaorun, et al.
Published: (2023)

Adaptive Reinforcement and Model Predictive Control Switching for Safe Human-Robot Cooperative Navigation
by: Liu, Ning, et al.
Published: (2026)

Safe Control using Learned Safety Filters and Adaptive Conformal Inference
by: Huriot, Sacha, et al.
Published: (2026)

Safe Planning in Unknown Environments Using Conformalized Semantic Maps
by: Sundarsingh, David Smith, et al.
Published: (2025)

VLM-Empowered Multi-Mode System for Efficient and Safe Planetary Navigation
by: Cheng, Sinuo, et al.
Published: (2025)

Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction
by: Firouzkouhi, Arad, et al.
Published: (2025)

Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment
by: Zhang, Yanze, et al.
Published: (2024)

Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles
by: Contreras, Jose Leopoldo, et al.
Published: (2024)

Automated Parking Trajectory Generation Using Deep Reinforcement Learning
by: Zhang, Zheyu, et al.
Published: (2025)

MoRoCo: An Online Topology-Adaptive Framework for Multi-Operator Multi-Robot Coordination under Restricted Communication
by: Tian, Zhuoli, et al.
Published: (2025)

Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning
by: Liu, Hao, et al.
Published: (2024)

Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example
by: Zhou, Bei, et al.
Published: (2025)

Safe Motion Planning and Control Using Predictive and Adaptive Barrier Methods for Autonomous Surface Vessels
by: Gonzalez-Garcia, Alejandro, et al.
Published: (2025)

Reinforcement Learning for Robotic Safe Control with Force Sensing
by: Lin, Nan, et al.
Published: (2025)

Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
by: Zhou, Rongliang, et al.
Published: (2024)

Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
by: Cao, Hongpeng, et al.
Published: (2024)

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

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
by: Huang, Yiou
Published: (2025)

Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning
by: Xiao, Wei, et al.
Published: (2024)

Probabilistically-Safe Bipedal Navigation over Uncertain Terrain via Conformal Prediction and Contraction Analysis
by: Muenprasitivej, Kasidit, et al.
Published: (2025)

Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
by: Dawood, Murad, et al.
Published: (2023)

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2024)

Formation-Aware Adaptive Conformalized Perception for Safe Leader-Follower Multi-Robot Systems
by: Suganda, Richie R., et al.
Published: (2026)

Adaptive Collision Sensitivity for Efficient and Safe Human-Robot Collaboration
by: Rustler, Lukas, et al.
Published: (2024)

A Task-Efficient Reinforcement Learning Task-Motion Planner for Safe Human-Robot Cooperation
by: Liu, Gaoyuan, et al.
Published: (2025)

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
by: Lekeufack, Jordan, et al.
Published: (2023)