Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Anton Raichuk"'
Autor:
Damien Vincent, Olivier Bachem, Karol Kurach, Piotr Stańczyk, Anton Raichuk, Michał Zając, Marcin Michalski, Sylvain Gelly, Lasse Espeholt, Olivier Bousquet, Carlos Riquelme
Publikováno v:
AAAI
Recent progress in the field of reinforcement learning has been accelerated by virtual learning environments such as video games, where novel algorithms and ideas can be quickly tested in a safe and reproducible manner. We introduce the Google Resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f4f64bc84e46d5296b33c59df846b6e
https://ruj.uj.edu.pl/xmlui/handle/item/265794
https://ruj.uj.edu.pl/xmlui/handle/item/265794
Publikováno v:
Synthesis Lectures on Artificial Intelligence & Machine Learning; 2024, pvii-108, 114p
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intel
Autor:
Aske Plaat
Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs
Autor:
Phil Winder Ph.D
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional ma