Cover Image

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoo, Se-Wook, Seo, Seung-Woo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Robotics Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
by: Honari, Homayoun, et al.
Published: (2024)

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
by: Tabbara, Ihab, et al.
Published: (2025)

MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety
by: Wang, Justin, et al.
Published: (2024)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning
by: Jayawardana, Vindula, et al.
Published: (2024)

Predictive Safety Shield for Dyna-Q Reinforcement Learning
by: Pin, Jin, et al.
Published: (2025)

Active Constraint Learning in High Dimensions from Demonstrations
by: Qiu, Zheng, et al.
Published: (2025)

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

Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)

Learning Causal Structure Distributions for Robust Planning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
by: Fabbro, Nicolò Dal, et al.
Published: (2024)

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
by: Wu, Kangyu, et al.
Published: (2026)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
by: Hashemi, Navid, et al.
Published: (2024)

Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
by: Singh, Nikhil Kumar, et al.
Published: (2024)

Adaptive Torque Control of Exoskeletons under Spasticity Conditions via Reinforcement Learning
by: Chavarrías, Andrés, et al.
Published: (2025)

Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics
by: Hu, Haimin
Published: (2026)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
by: Zhou, Zhehua, et al.
Published: (2024)

Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays
by: Pal, Aritra, et al.
Published: (2025)

Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
by: Liu, Ruijia, et al.
Published: (2025)

Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
by: Syntakas, Spyridon, et al.
Published: (2024)

One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
by: Lin, Albert, et al.
Published: (2024)

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
by: Vincent, Joseph A., et al.
Published: (2022)

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
by: Zongo, Alex, et al.
Published: (2026)

Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning
by: Akmandor, Neşet Ünver, et al.
Published: (2025)

SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins
by: Djuhera, Aladin, et al.
Published: (2024)

GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments
by: Puthumanaillam, Gokul, et al.
Published: (2024)

A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
by: Lin, Zhihao, et al.
Published: (2024)

A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
by: Giacomuzzos, Giulio, et al.
Published: (2023)

Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
by: Shaham, Michael H., et al.
Published: (2024)

Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
by: Chung, Jaehoon, et al.
Published: (2023)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)

The Role of Touch: Towards Optimal Tactile Sensing Distribution in Anthropomorphic Hands for Dexterous In-Hand Manipulation
by: Almeida, João Damião, et al.
Published: (2025)

Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
by: Seo, Junwon, et al.
Published: (2025)

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
by: Choi, Jinwoo, et al.
Published: (2025)

Robust Taylor-Lagrange Control for Safety-Critical Systems
by: Xiao, Wei, et al.
Published: (2026)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
by: Guerrier, Maeva, et al.
Published: (2024)

Learning to Fly in Seconds
by: Eschmann, Jonas, et al.
Published: (2023)

Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
by: Rivera, Josue N., et al.
Published: (2024)

Learning Force Control for Legged Manipulation
by: Portela, Tifanny, et al.
Published: (2024)