Learning to Generate Levels From Nothing

12 February 2020

Papers citing "Learning to Generate Levels From Nothing"

7 / 7 papers shown

Title
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning Florian Rupp Manuel Eberhardinger Kai Eckert 58 2 0 24 Mar 2025
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 37 10 0 01 Nov 2023
PCGPT: Procedural Content Generation via Transformers Sajad Mohaghegh Mohammad Amin Ramezan Dehnavi Golnoosh Abdollahinejad Matin Hashemi ViT 24 2 0 03 Oct 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 40 9 0 03 Feb 2023
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes Yahia A. Zakaria M. Fayek M. Hadhoud 24 2 0 29 Sep 2022
Watts: Infrastructure for Open-Ended Learning Aaron Dharna Charlie Summers Rohin Dasari Julian Togelius Amy K. Hoover 22 1 0 28 Apr 2022
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 65 230 0 02 May 2018