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researcher

M. Winands

26 papers hereh-index 293.1k citations211 works total

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

author position
  • middle author8
  • last author16

Across the 24 of 26 papers where every author was matched, so the position is known.

fields
  • cs.AI15
  • quant-ph7
  • cs.GT2
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedEnhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing

43 citations · 103 across the 26 of their papers we have counts for

collaborators
Showing 2024 · cs.AIShow all

3 papers · 2 filters

cs.AI2024

A Research Agenda for Usability and Generalisation in Reinforcement Learning

Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens +1

It is common practice in reinforcement learning (RL) research to train and deploy agents in bespoke simulators, typically implemented by engineers directly in general-purpose progr…

cs.AI2024★ 43 cited

Enhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing

Dennis J. N. J. Soemers, Chiara F. Sironi, Torsten Schuster +1

General Video Game Playing (GVGP) is a field of Artificial Intelligence where agents play a variety of real-time video games that are unknown in advance. This limits the use of dom…

cs.AI2024

Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games

Dennis J. N. J. Soemers, Guillaume Bams, Max Persoon +5

Many enhancements to Monte-Carlo Tree Search (MCTS) have been proposed over almost two decades of general game playing and other artificial intelligence research. However, our abil…

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