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Balancing of competitive two-player Game Levels with Reinforcement
  Learning

Balancing of competitive two-player Game Levels with Reinforcement Learning

7 June 2023
Florian Rupp
Manuel Eberhardinger
Kai Eckert
ArXiv (abs)PDFHTML

Papers citing "Balancing of competitive two-player Game Levels with Reinforcement Learning"

15 / 15 papers shown
Title
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Florian Rupp
Manuel Eberhardinger
Kai Eckert
83
2
0
24 Mar 2025
Generating Real-Time Strategy Game Units Using Search-Based Procedural
  Content Generation and Monte Carlo Tree Search
Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search
Kynan Sorochan
Matthew J. Guzdial
31
7
0
07 Dec 2022
Learning Controllable 3D Level Generators
Learning Controllable 3D Level Generators
Zehua Jiang
Sam Earle
M. Green
Julian Togelius
55
22
0
27 Jun 2022
Path of Destruction: Learning an Iterative Level Generator Using a Small
  Dataset
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset
Matthew Siper
Ahmed Khalifa
Julian Togelius
GAN
42
16
0
21 Feb 2022
World-GAN: a Generative Model for Minecraft Worlds
World-GAN: a Generative Model for Minecraft Worlds
Maren Awiszus
Frederik Schubert
Bodo Rosenhahn
SyDaGAN
43
19
0
18 Jun 2021
Learning Controllable Content Generators
Learning Controllable Content Generators
Sam Earle
Maria Edwards
Ahmed Khalifa
Philip Bontrager
Julian Togelius
57
45
0
06 May 2021
Adversarial Reinforcement Learning for Procedural Content Generation
Adversarial Reinforcement Learning for Procedural Content Generation
Linus Gisslén
Andy Eakins
Camilo Gordillo
Joakim Bergdahl
Konrad Tollmar
47
48
0
08 Mar 2021
Deep Learning for Procedural Content Generation
Deep Learning for Procedural Content Generation
Jialin Liu
Sam Snodgrass
Ahmed Khalifa
S. Risi
Georgios N. Yannakakis
Julian Togelius
3DV
72
137
0
09 Oct 2020
TOAD-GAN: Coherent Style Level Generation from a Single Example
TOAD-GAN: Coherent Style Level Generation from a Single Example
Maren Awiszus
Frederik Schubert
Bodo Rosenhahn
GAN
78
38
0
04 Aug 2020
Learning to Generate Levels From Nothing
Learning to Generate Levels From Nothing
Philip Bontrager
Julian Togelius
GAN
37
22
0
12 Feb 2020
PCGRL: Procedural Content Generation via Reinforcement Learning
PCGRL: Procedural Content Generation via Reinforcement Learning
Ahmed Khalifa
Philip Bontrager
Sam Earle
Julian Togelius
60
146
0
24 Jan 2020
Neural MMO: A Massively Multiagent Game Environment for Training and
  Evaluating Intelligent Agents
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
66
71
0
02 Mar 2019
DOOM Level Generation using Generative Adversarial Networks
DOOM Level Generation using Generative Adversarial Networks
E. Giacomello
P. Lanzi
Daniele Loiacono
GAN
55
59
0
24 Apr 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
532
19,265
0
20 Jul 2017
Procedural Content Generation via Machine Learning (PCGML)
Procedural Content Generation via Machine Learning (PCGML)
A. Summerville
Sam Snodgrass
Matthew J. Guzdial
Christoffer Holmgård
Amy K. Hoover
Aaron Isaksen
Andy Nealen
Julian Togelius
3DV
82
389
0
02 Feb 2017
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