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researcher

Nil Stolt Ansó

2 papers here

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

author position
  • sole author1
  • middle author1

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

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.LG2019

Investigation on the generalization of the Sampled Policy Gradient algorithm

Nil Stolt Ansó

The Sampled Policy Gradient (SPG) algorithm is a new offline actor-critic variant that samples in the action space to approximate the policy gradient. It does so by using the criti…

cs.AI2018

Sampled Policy Gradient for Learning to Play the Game Agar.io

Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan +1

In this paper, a new offline actor-critic learning algorithm is introduced: Sampled Policy Gradient (SPG). SPG samples in the action space to calculate an approximated policy gradi…

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