A-Jacobson / rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

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Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

Setup

  1. Follow setup instructions at https://github.com/openai/gym to install openai gym and atari games.
pip install gym
pip install -e '.[atari]'
  1. install pytorch and torchvision:
conda install pytorch torchvision -c pytorch
  1. install tensorflow and tensorboardX for logging.
pip install tensorboard
pip install tensorboardX

Contents

Usage

To train an agent on breakout for 2000000 steps.

python train.py --env Breakout-v0 --num_steps 2000000 --agent_name breakoutdqn

To watch your agent play 20 episodes of breakout.

python play.py --env Breakout-v0 --num_episodes 20 --agent_name breakoutdqn

About

Rainbow: Combining Improvements in Deep Reinforcement Learning

License:MIT License


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Language:Jupyter Notebook 67.3%Language:Python 32.7%