Johannes Ackermann (@johannesack) 's Twitter Profile
Johannes Ackermann

@johannesack

Reinforcement Learning PhD student at @UTokyo_News_en πŸ—ΌπŸ‡―πŸ‡΅, Intern @SakanaAILabs 🎏,
Prev: PFN, ETH, Huawei, @TU_Muenchen πŸ°πŸ‡©πŸ‡ͺ

ID: 1015296431937261568

linkhttps://johannesack.github.io/ calendar_today06-07-2018 18:08:27

154 Tweet

287 Followers

417 Following

Johannes Ackermann (@johannesack) 's Twitter Profile Photo

In his 40s, after inventing the Hopfield network 10 years ahead of Hopfield, legend Professor Amari got bored with neural networks and decided to revolutionize information geometry

In his 40s, after inventing the Hopfield network 10 years ahead of Hopfield, legend Professor Amari got bored with neural networks and decided to revolutionize information geometry
Π˜Ξ›VIY (@yivannaviy) 's Twitter Profile Photo

In reinforcement learning, why do we always maximize the discounted sum of rewards? Sum is a recursive function, but so are min, max, variance, and many others. That means we can estimate and optimize them directly with value-based and actor-critic methods.