33 citations · 39 across the 2 of their papers we have counts for
2 papers
q-fin.TR2018★ 6 cited
Idiosyncrasies and challenges of data driven learning in electronic trading
Vangelis Bacoyannis, Vacslav Glukhov, Tom Jin +2
We outline the idiosyncrasies of neural information processing and machine learning in quantitative finance. We also present some of the approaches we take towards solving the fund…
cs.AI2017★ 33 cited
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge
Doo Re Song, Chuanyu Yang, Christopher McGreavy +1
This paper presents a deep learning framework that is capable of solving partially observable locomotion tasks based on our novel interpretation of Recurrent Deterministic Policy G…