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alterlab-pufferlib - Scale reinforcement learning with PufferLib

Trains reinforcement learning agents with PufferLib using parallel vectorized environments, native multi-agent support, custom PufferEnv tasks, and integrated environments.

Tags

Updated: 2026-10-03

reinforcement learning PufferLib PPO vectorized environments multi-agent learning parallel training Gymnasium PettingZoo

Capabilities

Train PPO agents Create PufferEnv tasks Vectorize environment simulation Integrate Gymnasium environments

Typical Inputs

Reinforcement learning environment Training configuration Policy architecture

Typical Outputs

Trained policy Training metrics Environment implementation

What this skill does

Train PPO agents
Create PufferEnv tasks
Vectorize environment simulation
Integrate Gymnasium environments
Integrate PettingZoo environments
Develop custom policies
Scale multi-agent training

Inputs

Reinforcement learning environment
Training configuration
Policy architecture
Environment integration settings
Checkpoint path

Outputs

Trained policy
Training metrics
Environment implementation
Training checkpoint
Training status

Requirements

Local Python environment
uv command
pufferlib Python package
PufferLib 3.0.x
Optional GPU
No API key

Source

Spec: SKILL.md

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