Beyond those, my favorite resources are: - "An Introduction to Deep Reinforcement Learning" by Vincent François-Lavet et al (https://arxiv.org/pdf/1811.12560.p

Beyond those, my favorite resources are: - "An Introduction to Deep Reinforcement Learning" by Vincent François-Lavet et al (https://arxiv.org/pdf/1811.12560.pdf https://arxiv.org/pdf/1811.12560.pdf) - "A (Long) Peek into Reinforcement Learning" by Lilian Weng (https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-...) - "Deep Reinforcement Learning: Pong from Pixels" from Andrej Karpathy (https://karpathy.github.io/2016/05/31/rl/ https://karpathy.github.io/2016/05/31/rl/) Those are the basics. Some more resources listed on this post: https://news.ycombinator.com/item?id=18219620 https://news.ycombinator.com/item?id=18219620