Teaching an Agent to play Blackjack using Q-Learning. The code is explained in the Monte_Carlo.ipynb. You guys are welcome to imporve the hyperparameters or even the algorithm for better performance. I have also provided a presentation and a report to explain Monte Carlo Control Algorithms.
https://github.com/openai/gym/blob/master/gym/envs/toy_text/blackjack.py
Simply execute this on your shell: $pip install -r requirements.txt
For visualizations, I was not able to install basemap using pip. So I used
conda install -c anaconda basemap
