bio-pufferlib

What problem does it solve?

This Skill significantly speeds up reinforcement learning (RL) training by providing a highly optimized framework for environment simulation and agent training, enabling faster experimentation and development.

Core Features & Use Cases

• High-Performance Training: Achieve millions of steps per second with the PuffeRL PPO+LSTM trainer.
• Environment Development: Create custom, high-performance environments using the PufferEnv API.
• Seamless Integration: Works with Gymnasium, PettingZoo, Atari, Procgen, and many other RL environments.
• Use Case: Train complex multi-agent RL systems or fine-tune agents on large-scale benchmarks much faster than with standard libraries.

Quick Start

Use the bio-pufferlib skill to train an RL agent on the 'procgen-coinrun' environment using default settings.