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Playing Atari Games with OCaml and Deep Reinforcement Learning

Jane Street Tech Blog · published 2 February 2019

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Deep learning experiments in OCaml Read at the source ↗
blog.janestreet.com
https://pytorch.org/
pytorch.org
https://github.com/LaurentMazare/ocaml-torch
github.com
https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html
pytorch.org
https://deepmind.com/research/dqn/
deepmind.com
https://gym.openai.com/
gym.openai.com
https://en.wikipedia.org/wiki/Multi-armed_bandit
en.wikipedia.org
Deep Reinforcement Learning: Pong from Pixels Read at the source ↗
karpathy.github.io
https://blog.janestreet.com/playing-atari-games-with-ocaml-and-deep-rl/pong.png
blog.janestreet.com
https://github.com/LaurentMazare/ocaml-torch/blob/master/examples/reinforcement-learning/dqn_pong.ml
github.com
https://www.nature.com/articles/nature14236
nature.com
https://en.wikipedia.org/wiki/Huber_loss
en.wikipedia.org
https://blog.janestreet.com/playing-atari-games-with-ocaml-and-deep-rl/breakout.png
blog.janestreet.com
https://github.com/LaurentMazare/ocaml-torch/blob/master/examples/reinforcement-learning/dqn_atari.ml
github.com
http://nlp.seas.harvard.edu/NamedTensor
nlp.seas.harvard.edu
https://arxiv.org/abs/1512.01895
arxiv.org