List of resources about programming practices for writing safety-critical software.
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Updated
Apr 23, 2024 - Python
List of resources about programming practices for writing safety-critical software.
OmniSafe is an infrastructural framework for accelerating SafeRL research.
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
🚀 A fast safe reinforcement learning library in PyTorch
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
The Verifiably Safe Reinforcement Learning Framework
Official Code for Paper: Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an implementation of SAC + Robust Control Barrier Functions (RCBFs) for safe reinforcement learning in two custom environments
Various Control Barrier Functions realized on cartpole.
The Visibility-Aware RRT* implementation for safety-critical navigation with perception-limited robots.
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
official implmentation for LCSS paper, CDC presentation
Pacemaker program flashed on to the FRDM-K64FJ board using Python and Simulink
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