The library implements the entire RL training pipeline in JAX, including environments, enabling significant speedups through JIT compilation and parallel execution on GPUs. It supports running many agents in parallel for rapid hyperparameter tuning and meta-evolution for discovering new RL algorithms. The implementation includes PPO and other standard RL algorithms optimized for high-throughput training.