Blog post by Alex Irpan titled "Deep Reinforcement Learning Doesn't Work Yet"

https://www.alexirpan.com/2018/02/14/rl-hard.html

In this episode, Alex Irpan talks about limitations of current deep reinforcement learning methods and why we have a long way to go before they go mainstream. We discuss sample inefficiency, instability, the difficulty to design reward functions and overfitting to the environment. Alex concludes with a list of recommendations he found useful when training models with deep reinforcement learning.