Introducing Snowball Fight ☃️, our first ML-Agents environment

AI Agents Are Here. What Now?

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Agent Lightning v1.0 is a lightweight 3,500‑line framework designed to connect existing AI agents to reinforcement learning training. It simplifies the process of improving agents by handling tools, context, and decision‑making within a single, easy‑to‑integrate system. The framework allows developers to train agents with real harnesses without the need to rebuild complex underlying structures.

Neural MMO: A massively multiagent game environment

We’re releasing a Neural MMO, a massively multiagent game environment for reinforcement learning agents. Our platform supports a large, variable number of agents within a persistent and open-ended task.

Introducing ⚔️ AI vs. AI ⚔️ a deep reinforcement learning multi-agents competition system

Build AI agents with the Mistral Agents API

Aligning to What? Rethinking Agent Generalization in MiniMax M2