OmniSafe is an infrastructural framework for accelerating SafeRL research.
-
Updated
Sep 3, 2024 - Python
OmniSafe is an infrastructural framework for accelerating SafeRL research.
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
🚀 A fast safe reinforcement learning library in PyTorch
🔥 Datasets and env wrappers for offline safe reinforcement learning
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.
Official Code Repository for the POLICEd-RL Paper: https://arxiv.org/abs/2403.13297
Add a description, image, and links to the safe-rl topic page so that developers can more easily learn about it.
To associate your repository with the safe-rl topic, visit your repo's landing page and select "manage topics."