Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.
SAHSS+19.
https://arxiv.org/abs/1911.08265

Find out more on the Robustly Beneficial Wiki:
https://robustlybeneficial.org/wiki/index.php?title=Reinforcement_learning

Next week's paper is: 
A Roadmap for Robust End-to-End Alignment. LN Hoang 18.
https://arxiv.org/abs/1809.01036

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. SAHSS+19. https://arxiv.org/abs/1911.08265 Find out more on the Robustly Beneficial Wiki: https://robustlybeneficial.org/wiki/index.php?title=Reinforcement_learning Next week's paper is: A Roadmap for Robust End-to-End Alignment. LN Hoang 18. https://arxiv.org/abs/1809.01036

Reinforcement learning #RB7

Every week, we discuss a paper relevant to AI ethics. We try to explain the key ideas, to highlights the limits of the paper and to suggest further research questions related to the paper.

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Reinforcement learning #RB7

Reinforcement learning #RB7