all AI news
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time. (arXiv:2204.13307v2 [cs.LG] UPDATED)
Aug. 25, 2022, 1:12 a.m. | Johannes Scheiermann, Wolfgang Konen
stat.ML updates on arXiv.org arxiv.org
Recently, the seminal algorithms AlphaGo and AlphaZero have started a new era
in game learning and deep reinforcement learning. While the achievements of
AlphaGo and AlphaZero - playing Go and other complex games at super human level
- are truly impressive, these architectures have the drawback that they require
high computational resources. Many researchers are looking for methods that are
similar to AlphaZero, but have lower computational demands and are thus more
easily reproducible.
In this paper, we pick an …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Sr. VBI Developer II
@ Atos | Texas, US, 75093
Wealth Management - Data Analytics Intern/Co-op Fall 2024
@ Scotiabank | Toronto, ON, CA