sachaa + visualization   327

A Visual Guide to Evolution Strategies
RL is devoted to estimate this credit-assignment problem, and great progress has been made in recent years. However, credit assignment is still difficult when the reward signals are sparse. In the real world, rewards can be sparse and noisy. Sometimes we are given just a single reward, like a bonus check at the end of the year, and depending on our employer, it may be difficult to figure out exactly why it is so low. For these problems, rather than rely on a very noisy and possibly meaningless gradient estimate of the future to our policy, we might as well just ignore any gradient information, and attempt to use black-box optimisation techniques such as genetic algorithms (GA) or ES.
evolutionary  geneticalgorithms  AI  reinforcementlearning  deeplearning  visualization  algorithms  tweetit 
october 2017 by sachaa
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