Metadata-Version: 2.1
Name: async-gym-agents
Version: 0.1.2
Summary: Async agents for Stable Baselines 3
Author: Jonas Peche
Author-email: jonas.peche@aon.at
Requires-Python: >=3.8
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: stable-baselines3[extra] (>=2.3.2,<3.0.0)
Requires-Dist: torchinfo (>=1.8.0,<2.0.0)
Description-Content-Type: text/markdown

# Async Gym Agents

Wrapper environments and agent injectors to allow for drop-in async training.

```py
import gymnasium as gym
from stable_baselines3 import TD3

from async_gym_agents.agents.async_agent import get_injected_agent
from async_gym_agents.envs.multi_env import IndexableMultiEnv

# Create env with 8 parallel envs
env = IndexableMultiEnv([lambda: gym.make("Pendulum-v1") for i in range(8)])

# Create the model, injected with async capabilities
model = get_injected_agent(TD3)("MlpPolicy", env)

# Train the model
model.learn(total_timesteps=10)

# Shut down workers
model.shutdown()
```

