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