Cover Image

Simplex-enabled Safe Continual Learning Machine

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Hongpeng, Mao, Yanbing, Cai, Yihao, Sha, Lui, Caccamo, Marco
Format:	Preprint
Published:	2024
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

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

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
by: Cao, Hongpeng, et al.
Published: (2023)

Runtime Learning of Quadruped Robots in Wild Environments
by: Cai, Yihao, et al.
Published: (2025)

Real-DRL: Teach and Learn in Reality
by: Mao, Yanbing, et al.
Published: (2025)

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
by: Theile, Mirco, et al.
Published: (2024)

Bregman Centroid Guided Cross-Entropy Method
by: Gu, Yuliang, et al.
Published: (2025)

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

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

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

GUARD: A Safe Reinforcement Learning Benchmark
by: Zhao, Weiye, et al.
Published: (2023)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults
by: Bansal, Ayoosh, et al.
Published: (2022)

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

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

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

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

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

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

Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing
by: Tomita, Kento, et al.
Published: (2021)

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

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

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

Safe Deep Policy Adaptation
by: Xiao, Wenli, et al.
Published: (2023)

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

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, 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)

Safe Exploration via Policy Priors
by: Wendl, Manuel, 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)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
by: Stoler, Benjamin, et al.
Published: (2024)

Learning World Models for Unconstrained Goal Navigation
by: Duan, Yuanlin, et al.
Published: (2024)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

Evidence of an Emergent "Self" in Continual Robot Learning
by: Jhunjhunwala, Adidev, et al.
Published: (2026)

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)

Online Continual Learning For Interactive Instruction Following Agents
by: Kim, Byeonghwi, et al.
Published: (2024)

CRL-VLA: Continual Vision-Language-Action Learning
by: Zeng, Qixin, et al.
Published: (2026)

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
by: Kojima, Takeshi, et al.
Published: (2025)

Continual Learning for Multimodal Data Fusion of a Soft Gripper
by: Kushawaha, Nilay, et al.
Published: (2024)

Learning Pareto Set for Multi-Objective Continuous Robot Control
by: Shu, Tianye, et al.
Published: (2024)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Predictive Preference Learning from Human Interventions
by: Cai, Haoyuan, et al.
Published: (2025)