protomotions.agents.ppo package

Proximal Policy Optimization (PPO) implementation.

This package implements the PPO algorithm for reinforcement learning, including the actor-critic model architecture and training logic.

Key Components:

  • PPO: Main PPO agent

  • PPOModel: Actor-critic model

  • PPOActor: Policy network

  • PPOAgentConfig: Configuration

Example

>>> from protomotions.agents.ppo.agent import PPO
>>> agent = PPO(fabric, env, config)
>>> agent.train()

Submodules