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.

74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan

NLP Highlights