Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Optimised Playout Implementations for the Ludii General Game System (2111.02839v1)

Published 4 Nov 2021 in cs.AI

Abstract: This paper describes three different optimised implementations of playouts, as commonly used by game-playing algorithms such as Monte-Carlo Tree Search. Each of the optimised implementations is applicable only to specific sets of games, based on their rules. The Ludii general game system can automatically infer, based on a game's description in its general game description language, whether any optimised implementations are applicable. An empirical evaluation demonstrates major speedups over a standard implementation, with a median result of running playouts 5.08 times as fast, over 145 different games in Ludii for which one of the optimised implementations is applicable.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Dennis J. N. J. Soemers (31 papers)
  2. Éric Piette (21 papers)
  3. Matthew Stephenson (35 papers)
  4. Cameron Browne (27 papers)

Summary

We haven't generated a summary for this paper yet.