activity
20162023
most citedSuper Mario as a String: Platformer Level Generation Via LSTMs

97 citations · 228 across the 8 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

cs.AI2017★ 11 cited

Automatic Mapping of NES Games with Mappy

Joseph C. Osborn, Adam Summerville, Michael Mateas

Game maps are useful for human players, general-game-playing agents, and data-driven procedural content generation. These maps are generally made by hand-assembling manually-create…

cs.AI2017★ 14 cited

Mechanics Automatically Recognized via Interactive Observation: Jumping

Adam Summerville, Joseph C. Osborn, Christoffer Holmgård +1

Jumping has been an important mechanic since its introduction in Donkey Kong. It has taken a variety of forms and shown up in numerous games, with each jump having a different feel…

cs.AI2017

CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis

Adam Summerville, Joseph Osborn, Michael Mateas

We propose and evaluate a new technique for learning hybrid automata automatically by observing the runtime behavior of a dynamical system. Working from a sequence of continuous st…

cs.AI2017

Automated Game Design Learning

Joseph C Osborn, Adam Summerville, Michael Mateas

While general game playing is an active field of research, the learning of game design has tended to be either a secondary goal of such research or it has been solely the domain of…

cs.AI2017★ 1 cited

Off The Beaten Lane: AI Challenges In MOBAs Beyond Player Control

Michael Cook, Adam Summerville, Simon Colton

MOBAs represent a huge segment of online gaming and are growing as both an eSport and a casual genre. The natural starting point for AI researchers interested in MOBAs is to develo…

cs.AI2017

Procedural Content Generation via Machine Learning (PCGML)

Adam Summerville, Sam Snodgrass, Matthew Guzdial +5

This survey explores Procedural Content Generation via Machine Learning (PCGML), defined as the generation of game content using machine learning models trained on existing content…