Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

Contains Expert Trajectories for various Gym Environments used for State Only Imitation Learning

Continuous Environment

Training an agent in the gym Pendulum-v1 environment using Actor-Critic algorithm.

This project investigates to what extend evolutionary methods such as the Cross Entropy Method and Evolution Strategies can be used to optimize a neural policy compared to the baseline REINFORCE.