Simple tabular RL with OpenAI gym

Installation:

• Clone this repository

   git clone https://github.com/ramya-ram/simple-gym-rl.git
   cd simple-gym-rl
  

• Set up an Anaconda environment with the required packages:

   conda env create -f environment.yml
   source activate simple-gym-rl
  

• Install the domains in this repo:

   cd domains
   pip install -e .
  

Running the code:

• To train the agent in a particular environment, run:

   cd run_q_learning
   python run_game.py (game-name) (save-directory-name)
  
   e.g.
   python run_game.py "MyCatcher-v0" mycatcher
  

  The learned Q-values, mean reward learning curve, and other debug info (state counts, etc.) will be saved to the specified directory location. The domain code for MyCatcher is located in domains/domains/ple. The code for the Q-learning part is in the run_q_learning folder and includes run_game.py and q_learner.py.

• If you want to watch the agent play the learned source/target tasks, run:

   cd run_q_learning
   python run_game.py (game-name) (save-directory-name) (learned-Q-file)
  
   e.g.
   python run_game.py "MyCatcher-v0" mycatcher_learned mycatcher/Q.csv