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Cameron Browne

4 papers here

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

author position
  • first author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.LG1
ORCID 0000-0003-2997-3255

identity via Semantic Scholar / OpenAlex

most citedLearning Policies from Self-Play with Policy Gradients and MCTS Value Estimates

5 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2019

An Overview of the Ludii General Game System

Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers +1

The Digital Ludeme Project (DLP) aims to reconstruct and analyse over 1000 traditional strategy games using modern techniques. One of the key aspects of this project is the develop…

cs.AI2019★ 3 cited

Foundations of Digital Archæoludology

Cameron Browne, Dennis J. N. J. Soemers, Éric Piette +15

Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using mode…

cs.LG2019★ 5 cited

Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates

Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson +1

In recent years, state-of-the-art game-playing agents often involve policies that are trained in self-playing processes where Monte Carlo tree search (MCTS) algorithms and trained…

cs.AI2019

Biasing MCTS with Features for General Games

Dennis J. N. J. Soemers, Éric Piette, Cameron Browne

This paper proposes using a linear function approximator, rather than a deep neural network (DNN), to bias a Monte Carlo tree search (MCTS) player for general games. This is unlike…

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