ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.04374
  4. Cited By
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets
  in Chess

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess

9 September 2020
Nenad Tomašev
Ulrich Paquet
Demis Hassabis
Vladimir Kramnik
ArXivPDFHTML

Papers citing "Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess"

3 / 3 papers shown
Title
Learning to play the Chess Variant Crazyhouse above World Champion Level
  with Deep Neural Networks and Human Data
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
Johannes Czech
Moritz Willig
Alena Beyer
Kristian Kersting
Johannes Furnkranz
33
17
0
19 Aug 2019
Balancing Two-Player Stochastic Games with Soft Q-Learning
Balancing Two-Player Stochastic Games with Soft Q-Learning
Jordi Grau-Moya
Felix Leibfried
Haitham Bou-Ammar
95
42
0
09 Feb 2018
Evolutionary Search in the Space of Rules for Creation of New Two-Player
  Board Games
Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games
Z. Halim
43
15
0
01 Jun 2014
1