This repo is a working implementation of guided cost learning (https://arxiv.org/abs/1603.00448) for discrete action space. Currently, it supports the CartPole-v0 environment.
$ python3.8 main.py
- generating_expert.py: Generates an expert on CartPole, by training vanilla policy gradient, and finally stores trained trajecteries as expert samples at expert_samples.
- experts/PG.py: Implementation of vanilla policy gradient. This is reused at several places.
- main.py: Contains the main implementation of GCL.
