Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

Simple, Elegant, Typed Argument Parsing with argparse

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.