Data Science at Home

What is wrong with reinforcement learning? (Ep. 82)

10.15.2019 - By Francesco GadaletaPlay

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After reinforcement learning agents doing great at playing Atari video games, Alpha Go, doing financial trading, dealing with language modeling, let me tell you the real story here.In this episode I want to shine some light on reinforcement learning (RL) and the limitations that every practitioner should consider before taking certain directions. RL seems to work so well! What is wrong with it?

 

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References

Emergence of Locomotion Behaviours in Rich Environments https://arxiv.org/abs/1707.02286

Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298

AlphaGo Zero: Starting from scratch https://deepmind.com/blog/article/alphago-zero-starting-scratch

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