Search Results for author: Sam Earle

Found 5 papers, 3 papers with code

Illuminating Diverse Neural Cellular Automata for Level Generation

2 code implementations12 Sep 2021 Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius

We present a method of generating a collection of neural cellular automata (NCA) to design video game levels.

Exploring open-ended gameplay features with Micro RollerCoaster Tycoon

no code implementations10 May 2021 Michael Cerny Green, Victoria Yen, Sam Earle, Dipika Rajesh, Maria Edwards, L. B. Soros

This paper introduces MicroRCT, a novel open source simulator inspired by the theme park sandbox game RollerCoaster Tycoon.

Learning Controllable Content Generators

1 code implementation6 May 2021 Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, Julian Togelius

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-specified heuristic.

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

no code implementations29 Jan 2020 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 combination of any number of city-wide metrics, on gameboards of various sizes.

PCGRL: Procedural Content Generation via Reinforcement Learning

6 code implementations24 Jan 2020 Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius

We investigate how reinforcement learning can be used to train level-designing agents.

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