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

ghostloop

The agent loop, embodied. Tool-using runtime + fail-closed safety pipeline + sim-first execution + statistically-rigorous bench harness + post-hoc analysis (counterfactual replay, causal attribution, LLM judge, property mining) for embodied AI. Sister project to GhostLM.

fast-safe-rl

🚀 A fast safe reinforcement learning library in PyTorch

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