risk-aware

Learning robot-specific traversability from a short manual drive — No manual labels needed. [RA-L '24]

Risk-aware multi-agent deep reinforcement learning for packet routing in ultra-dense LEO satellite networks

IDPS-ESCAPE: Intrusion Detection and Prevention System - Enhanced Security through a Cooperative Anomaly Prediction Engine. ML-driven SOAR via a Risk-aware Anomaly Detection and Automated Response (RADAR) subsystem and a deep learning-based AD subsystem (SONAR), integrated with Wazuh, Flowintel, MISP, Suricata and SATRAP-DL.

Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications

auto-coding · 风险感知的 AI 编码交付 skill — 按风险分级、先复用后编写、证据驱动验证 | Risk-aware delivery skill for AI coding agents

This project focuses on implementing a novel approach to Risk-Aware Transfer in Reinforcement Learning (RL). This project introduces a unique perspective by incorporating risk at the test level rather than during training.

A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems

Implementation for "The Price of a Safe Flight: Risk Cost Based Path Planning" [Accepted Presentation ICRA 2024]

Ripple is a PyTorch library for Risk-aware ML

Risk-aware path planning with A* and RRT* on a 2D grid. Tunable alpha parameter for cost vs. risk trade-off in autonomous navigation.