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RaidEnv: Exploring New Challenges in Automated Content Balancing for
  Boss Raid Games

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
ArXivPDFHTML

Papers citing "RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games"

4 / 4 papers shown
Title
Return-Aligned Decision Transformer
Return-Aligned Decision Transformer
Tsunehiko Tanaka
Kenshi Abe
Kaito Ariu
Tetsuro Morimura
Edgar Simo-Serra
OffRL
54
1
0
06 Feb 2024
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
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
50
100
0
14 Jul 2021
Quantifying the effects of environment and population diversity in
  multi-agent reinforcement learning
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Kevin R. McKee
Joel Z. Leibo
Charlie Beattie
Richard Everett
39
30
0
16 Feb 2021
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
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
229
0
02 May 2018
1