OSRL

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

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

Keep your sensitive information out of chat logs, emails, and more with encrypted secrets.

Given some data, jsesc returns the shortest possible stringified & ASCII-safe representation of that data.

The repository is for safe reinforcement learning baselines.

Authoring GitHub Actions workflows in Kotlin. You won't go back to YAML!

?? Progressive full-stack framework. Develop modern apps, clouds & framework-agnostic libraries—faster. For Web Artisans.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Automatically perform UITableView and UICollectionView animations between two sets of immutable data. It supports generic data types and is fully thread-safe.

Low-level language, tiny virtual machine, minimal runtime, intermediate representation, embeddable, easy for beginners. (Friendly Punched cards)