An openai-gym wrapper for nes games.

• Install nes emulator and make sure fceux is in your $PATH. In ubuntu, simple use apt install fceux.
• Copy state files from roms/fcs/* to your `~/.fceux/fcs/``

# import nesgym to register environments to gym
import nesgym
env = gym.make('nesgym/NekketsuSoccerPK-v0')
obs = env.reset()

for step in range(10000):
  action = env.action_space.sample()
  obs, reward, done, info = env.step(action)

An implementation of dqn is in src/dqn. You can train dqn model for atari and nes with run-atari.py and run-soccer.py, respectively.

You need two files: a lua interface file, and an openai gym environment class(python) file. The lua file needs to get the reward from emulator(typically extracting from a memory location), and the python file defines the game specific environment. For an example of lua file, see src/lua/soccer.lua; for an example of gym env file, see src/nesgym/nekketsu_soccer_env.py.