OmniSafe is an infrastructural framework for accelerating SafeRL research.
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Updated
Sep 3, 2024 - Python
OmniSafe is an infrastructural framework for accelerating SafeRL research.
Official Code Repository for the POLICEd-RL Paper: https://arxiv.org/abs/2403.13297
🔥 Datasets and env wrappers for offline safe reinforcement learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
🚀 A fast safe reinforcement learning library in PyTorch
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.
Blog Post about Curriculum Induction for Safe Reinforcement Learning
Poster about Curriculum Induction for Safe Reinforcement Learning
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
Correct-by-synthesis reinforcement learning with temporal logic constraints (CoRL)
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