PyTorch implementations of reinforcement learning algorithms.
Project description
JigglypuffRL
Installation
We suggest creating a conda virtual environment before installing our package.
conda create -n JgRL_env python=3.6 pip
conda activate JgRL_env
pip install jigglypuff-rl
Usage
from jigglypuffRL import PPO1
import gym
env = gym.make('CartPole-v0')
agent = PPO1('MlpPolicy', 'MlpValue', env, epochs=500, tensorboard_log='./runs/')
agent.learn()
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