Files

01. Introduction to Reinforcement Learning
02. Getting Started with OpenAI and Tensorflow
03. Markov Decision Process and Dynamic Programming
04. Gaming with Monte Carlo Methods
05. Temporal Difference Learning
06. Multi-Armed Bandit Problem
07. Deep Learning Fundamentals
08. Atari Games with DQN
09. Playing Doom Game using DRQN
10. Aysnchronous Advantage Actor Critic Network
11. Policy Gradients and Optimization
12. Capstone Project: Car Racing using DQN
13. Recent Advancements and Next Steps
- .ipynb_checkpoints
- images
- 13.3 Deep Q Learning From Demonstrations.ipynb
- 13.4 Hindsight Experience Replay.ipynb
images
README.md

13. Recent Advancements and Next Steps

Name		Name	Last commit message	Last commit date
parent directory ..
.ipynb_checkpoints		.ipynb_checkpoints
images		images
13.3 Deep Q Learning From Demonstrations.ipynb		13.3 Deep Q Learning From Demonstrations.ipynb
13.4 Hindsight Experience Replay.ipynb		13.4 Hindsight Experience Replay.ipynb