Safe Rl Python Packages

omnisafe

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

dsrl

🔥 Datasets and env wrappers for offline safe reinforcement learning

fast-safe-rl

🚀 A fast safe reinforcement learning library in PyTorch

ghostloop

The agent loop, embodied. A tool-using runtime + fail-closed safety pipeline + sim-first execution harness for embodied AI.

parallelcbf

Composable safety-filter and auditability layer for tensor-parallel reinforcement learning. CBF safety filters, watchdog registries, pre-registration artifacts, failure forensics.

osrl-lib

🤖 Elegant implementations of offline safe RL algorithms in PyTorch