Cover Image

GUARD: A Safe Reinforcement Learning Benchmark

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Weiye, Sun, Yifan, Li, Feihan, Chen, Rui, Liu, Ruixuan, Wei, Tianhao, Liu, Changliu
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)

Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
by: Sun, Yifan, et al.
Published: (2023)

State-wise Constrained Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)

Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking
by: Liu, Ruixuan, et al.
Published: (2024)

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
by: Wei, Tianhao, et al.
Published: (2024)

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction
by: Zhao, Weiye, et al.
Published: (2024)

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots
by: Li, Feihan, et al.
Published: (2024)

A Lightweight and Transferable Design for Robust LEGO Manipulation
by: Liu, Ruixuan, et al.
Published: (2023)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
by: Abuduweili, Abulikemu, et al.
Published: (2024)

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

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

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024)

Safe Reinforcement Learning in a Simulated Robotic Arm
by: Kovač, Luka, et al.
Published: (2023)

AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning
by: Chen, Alan, et al.
Published: (2024)

Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
by: Walter, Tim, et al.
Published: (2025)

Long-term Safe Reinforcement Learning with Binary Feedback
by: Wachi, Akifumi, et al.
Published: (2024)

SPARK: Safe Protective and Assistive Robot Kit
by: Sun, Yifan, et al.
Published: (2025)

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
by: Liu, Puze, et al.
Published: (2024)

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)

Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)

TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
by: Tomov, Momchil S., et al.
Published: (2025)

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

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
by: Cherepanov, Egor, et al.
Published: (2025)

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
by: He, Tairan, et al.
Published: (2024)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Decomposition-based Hierarchical Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications
by: Luo, Xusheng, et al.
Published: (2023)

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
by: Gu, Zhaoyuan, et al.
Published: (2026)

A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites
by: Liu, Bofei, et al.
Published: (2025)

Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
by: Hinckeldey, Leonard, et al.
Published: (2025)

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2025)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
by: Tomilin, Tristan, et al.
Published: (2025)

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering
by: Qi, Qihan, et al.
Published: (2024)

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
by: Wu, Qizhen, et al.
Published: (2024)

A Provable Approach for End-to-End Safe Reinforcement Learning
by: Wachi, Akifumi, et al.
Published: (2025)