Tensorflow implementation of policy gradient reinforcment learning with baseline for two games from OpenAI Gym: cartpole and pong.
To run the games with the default hyperparameters, use the following commmands and specify a run_num to create a new log directory:
python cartpole.py --run_num 1
python pong.py --run_num 1
The default hyperparameters were selected through experimentation, but can be adjusted by adding arguments to a game launch.
To visualize the average total episode reward at each epoch, launch tensorboard with the following command:
tensorboard --logdir=logs/pong/[run_num]