Multi-Agent Reinforcement Learning with JAX
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The absolute trainer to light up AI agents.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!