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researcher

Sam Earle

4 papers here

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

author position
  • sole author1
  • first author1
  • middle author2

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

fields
  • cs.LG3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedUsing Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales

9 citations · 9 across the 1 of their papers we have counts for

collaborators

4 papers

cs.AI2021

Exploring open-ended gameplay features with Micro RollerCoaster Tycoon

Michael Cerny Green, Victoria Yen, Sam Earle +3

This paper introduces MicroRCT, a novel open source simulator inspired by the theme park sandbox game RollerCoaster Tycoon. The goal in MicroRCT is to place rides and shops in an a…

cs.LG2021

Learning Controllable Content Generators

Sam Earle, Maria Edwards, Ahmed Khalifa +2

It has recently been shown that reinforcement learning can be used to train generators capable of producing high-quality game levels, with quality defined in terms of some user-spe…

cs.LG2020★ 9 cited

Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales

Sam Earle

We introduce gym-city, a Reinforcement Learning environment that uses SimCity 1's game engine to simulate an urban environment, wherein agents might seek to optimize one or a combi…

cs.LG2020

PCGRL: Procedural Content Generation via Reinforcement Learning

Ahmed Khalifa, Philip Bontrager, Sam Earle +1

We investigate how reinforcement learning can be used to train level-designing agents. This represents a new approach to procedural content generation in games, where level design…

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