Modular implementation of Vanila Policy Gradient (VPG) algorithm with an RNN policy.

• Python 2.7 or 3.5
• TensorFlow 1.10
• gym
• numpy
• tqdm progress-bar

• Using an RNN policy for giving the action probabilities for a reinforcement learning problem
• Using a sampler that reshape the trajectory to be feed into an RNN policy
• Using gradient clipping to solve the exploding gradient problem
• Using GRU to solve the vanishing gradient problem

To train a model for Cartpole-v0:

$ python run_pg_rnn.py 

To view the tensorboard

$tensorboard --logdir .

• Tensorboard Progress Bar