Interfacing with VGDL
Instructions to interface with VGDL and to run DeepRL Models.
Gym-like API to run your own models
The Methods are defined in VGDLEnvAndres.py :
#Configs to set
self.trial_num = 1002
self.record_flag = 0 #1 to generate VGDL files (i.e. reward_histories used for figures)
#Attributes
self.game_name
self.game_over
self.action_space
self.observation_space
#Methods
self.step(action)
self.reset()
self.set_level(level,steps)
self.get_level()
To run Deep RL models
Installation
sudo apt-get update && sudo apt-get install python python2.7 python-pip virtualenv git wget emacs cmake zlib1g-devcmake zlib1g-dev
pip install wheel
pip install -r requirements
#FOR Dopamine:
pip install absl-py atari-py gin-config gym opencv-python tensorflow-gpu
Run Dopamine
Clone this Repo and our version of Dopamine from https://github.com/ACampero/dopamine as a submodule as in the Repo
python -um dopamine.discrete_domains.train \
--base_dir=./tmp/dopamine/aliens \
--gin_files='dopamine/agents/rainbow/configs/rainbow_aaaiAndres.gin' \
--gin_bindings='create_atari_environment.game_name="VGDL_aliens"'
Run Pytorch Implemenation of DDQN
python runDDQN.py -game_name aliens