Making Sense of the Bias / Variance Trade-off in (Deep) Reinforcement Learning
(This post assumes some familiarity with machine learning, and reinforcement learning in particular. If you are new to RL, I’d recommend checking out a series of blog posts I wrote in 2016 on the topic as a primer) IntroductionSince the launch of the ML-Agents platform a few months ago, I have been surprised and delighted to find that thanks to it and other tools like OpenAI Gym, a new, wider audi
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