A library of reinforcement learning components and agents
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.
Evaluate and improve models and agents using environments
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code