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Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games

Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games

3 July 2020
J. Kristensen
Paolo Burelli
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games"

4 / 4 papers shown
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on
  Different Methods to Combine Player Analytics and Simulated Data
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data
J. Kristensen
Paolo Burelli
205
5
0
30 Jan 2024
Estimating player completion rate in mobile puzzle games using
  reinforcement learning
Estimating player completion rate in mobile puzzle games using reinforcement learning
J. Kristensen
Arturo Valdivia
Paolo Burelli
110
15
0
26 Jun 2023
A2C is a special case of PPO
A2C is a special case of PPO
Shengyi Huang
Anssi Kanervisto
Antonin Raffin
Weixun Wang
Santiago Ontañón
Rousslan Fernand Julien Dossa
OffRL
255
40
0
18 May 2022
Statistical Modelling of Level Difficulty in Puzzle Games
Statistical Modelling of Level Difficulty in Puzzle Games
J. Kristensen
Arturo Valdivia
Paolo Burelli
98
10
0
05 Jul 2021
1
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