Deep-Reinforcement-Learning

This repository provides implementations of deep reinforcement learning algorithms. The codes are mainly written in python3 using Ipython Notebook.

Chapter 01: Behavior Cloning (Supervised Learning)

Chapter 02: Value Iteration and Policy Iteration

Chapter 03: SARSA and Q Learning

Chapter 04: Deep Q Learning

Chapter 05: Policy Gradient

Chapter 06: Actor Critic Methods

Chapter 07: Model based RL and Learning from Demonstrations

Chapter 08: Inverse Reinforcement Learning

Doker files for environment settings

https://github.com/SKYnSPACE/DockerFiles/tree/master/py3-gym-tf1.6