gym-gridworld

Basic implementation of gridworld game for reinforcement learning research. This environment is used in the following paper:

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Consider cite the paper:

@inproceedings{pan2019you,
  author    = {Xinlei Pan and
               Weiyao Wang and
               Xiaoshuai Zhang and
               Bo Li and
               Jinfeng Yi and
               Dawn Song},
  title     = {How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement
               Learning},
  booktitle = {Proceedings of the 18th International Conference on Autonomous Agents
               and MultiAgent Systems, {AAMAS}},
  pages     = {368--376},
  publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
  year      = {2019},
}

Install gym-gridworld

install virtual environment for gridworld

cd gym-gridworld
conda env create -f environment.yml
conda activate gridworld
pip install -e .

Use gym-gridworld

import gym
import gym_gridworld
env = gym.make('gridworld-v0')
_ = env.reset()
_ = env.step(env.action_space.sample())

Visualize gym-gridworld

In order to visualize the gridworld, you need to set env.verbose to True

env.verbose = True
_ = env.reset()