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researcher

Amine Kerkeni

2 papers hereh-index 4109 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedDesigning a Prospective COVID-19 Therapeutic with Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

q-bio.BM2020★ 2 cited

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning

Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot +6

The SARS-CoV-2 pandemic has created a global race for a cure. One approach focuses on designing a novel variant of the human angiotensin-converting enzyme 2 (ACE2) that binds more…

cs.LG2018

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri +6

Adversarial self-play in two-player games has delivered impressive results when used with reinforcement learning algorithms that combine deep neural networks and tree search. Algor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.