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RL-PPO-Keras

This is an implementation of proximal policy optimization(PPO) algorithm with Keras.

Usage

Start an experiment:

python main.py

Code

  • run_exp.py

    Create environment and agent. Agent interacts with enviornment and learns with samples.

  • config.py

    Configuration about agent, environment, experiment, and path.

  • ppo.py

    Implementation of PPO algorithm.