Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2307.01676
Cited By
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
4 July 2023
Hyeonchang Jeon
In-Chang Baek
Cheong-mok Bae
Taehwa Park
Wonsang You
Taegwan Ha
Hoyun Jung
Jinha Noh
Seungwon Oh
Kyung-Joong Kim
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games"
36 / 36 papers shown
Title
Return-Aligned Decision Transformer
Tsunehiko Tanaka
Kenshi Abe
Kaito Ariu
Tetsuro Morimura
Edgar Simo-Serra
OffRL
119
1
0
06 Feb 2024
Estimating player completion rate in mobile puzzle games using reinforcement learning
J. Kristensen
Arturo Valdivia
Paolo Burelli
40
13
0
26 Jun 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
83
93
0
14 Dec 2022
Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search
Kynan Sorochan
Matthew J. Guzdial
25
7
0
07 Dec 2022
K-level Reasoning for Zero-Shot Coordination in Hanabi
Brandon Cui
Hengyuan Hu
Luis Pineda
Jakob N. Foerster
OffRL
LRM
65
34
0
14 Jul 2022
Learning Controllable 3D Level Generators
Zehua Jiang
Sam Earle
M. Green
Julian Togelius
55
22
0
27 Jun 2022
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
44
34
0
10 Nov 2021
Predicting Game Engagement and Difficulty Using AI Players
Shaghayegh Roohi
Christian Guckelsberger
Asko Relas
Henri Heiskanen
Jari Takatalo
Perttu Hämäläinen
47
15
0
26 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
86
109
0
14 Jul 2021
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
Tianye Shu
Jialin Liu
Georgios N. Yannakakis
61
40
0
30 Jun 2021
On the Importance of Environments in Human-Robot Coordination
Matthew C. Fontaine
Ya-Chuan Hsu
Yulun Zhang
Bryon Tjanaka
Stefanos Nikolaidis
74
60
0
21 Jun 2021
Gym-
μ
μ
μ
RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
Sheng-Jun Huang
Santiago Ontañón
Chris Bamford
Lukasz Grela
OffRL
47
36
0
21 May 2021
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
Linus Gisslén
Andy Eakins
Camilo Gordillo
Joakim Bergdahl
Konrad Tollmar
47
48
0
08 Mar 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Kevin R. McKee
Joel Z Leibo
Charlie Beattie
Richard Everett
75
35
0
16 Feb 2021
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
Hangtian Jia
Yujing Hu
Yingfeng Chen
Chunxu Ren
Tangjie Lv
Changjie Fan
Chongjie Zhang
69
23
0
06 Dec 2020
Predicting Game Difficulty and Churn Without Players
Shaghayegh Roohi
Asko Relas
Jari Takatalo
Henri Heiskanen
Perttu Hämäläinen
57
24
0
29 Aug 2020
Competitive Balance in Team Sports Games
S. M. Nikolakaki
Ogheneovo Dibie
Ahmad Beirami
N. Peterson
Navid Aghdaie
Kazi A. Zaman
17
12
0
24 Jun 2020
PCGRL: Procedural Content Generation via Reinforcement Learning
Ahmed Khalifa
Philip Bontrager
Sam Earle
Julian Togelius
58
144
0
24 Jan 2020
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll
Rohin Shah
Mark K. Ho
Thomas Griffiths
Sanjit A. Seshia
Pieter Abbeel
Anca Dragan
HAI
69
400
0
13 Oct 2019
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
145
403
0
25 Jul 2019
Ludii as a Competition Platform
Matthew Stephenson
Éric Piette
Dennis J. N. J. Soemers
C. Browne
26
12
0
29 Jun 2019
Introducing the Hearthstone-AI Competition
Alexander Dockhorn
Sanaz Mostaghim
BDL
28
23
0
06 May 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
64
71
0
02 Mar 2019
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
93
953
0
11 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
...
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
LLMAG
69
352
0
01 Feb 2019
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
54
119
0
10 Sep 2018
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
85
820
0
07 Sep 2018
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms
M. Świechowski
T. Tajmajer
Andrzej Janusz
BDL
87
59
0
14 Aug 2018
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
109
233
0
02 May 2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
Diego Perez-Liebana
Jialin Liu
Ahmed Khalifa
Raluca D. Gaina
Julian Togelius
Simon Lucas
97
175
0
28 Feb 2018
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
517
19,065
0
20 Jul 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
132,199
0
12 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
127
2,076
0
24 May 2017
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
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michal Kempka
Marek Wydmuch
Grzegorz Runc
Jakub Toczek
Wojciech Ja'skowski
72
700
0
06 May 2016
1