The following section is a collection of resources about building a portfolio of data science projects

Sutton, R.S., Barto, A.G., Reinforcement Learning 2nd Edition: http://incompleteideas.net/book/the-book-2nd.html

Reinforcement Learning Course by David Silver (Deepmind): https://www.youtube.com/watch?v=2pWv7GOvuf0

Reinforcement Learning Course by David Silver (UCL): https://www.davidsilver.uk/teaching/

Other Resources

Berkely CS285 Deep RL Course : http://rail.eecs.berkeley.edu/deeprlcourse/

Stanford CS234 Reinforcement Learning: http://web.stanford.edu/class/cs234/index.html

Deep RL Bootcamp: https://sites.google.com/view/deep-rl-bootcamp/lectures

OpenAI: https://spinningup.openai.com/en/latest/

Stable Baselines: https://stable-baselines.readthedocs.io/en/master/guide/rl.html

Lilian Weng Blog: https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html

Repo of Reinforcement Learning Resources: https://github.com/dennybritz/reinforcement-learning

05/09/2020