Zobrazeno 1 - 10
of 555
pro vyhledávání: '"Wu TI"'
Publikováno v:
ClinicoEconomics and Outcomes Research, Vol Volume 16, Pp 761-769 (2024)
Chien-Yu Lin,1 Tzu-I Wu,1,2 Szu-Chun Yang1 1Division of Thoracic Medicine, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 2Department of Public Health, Co
Externí odkaz:
https://doaj.org/article/08fe00487e5a4a088c19fa1140033aca
Autor:
Tsai, Yun-Jui, Wei, Ting Han, Lin, Chi-Huang, Shih, Chung-Chin, Guei, Hung, Wu, I-Chen, Wu, Ti-Rong
Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuristic search space significantly for 7x7 Killall-Go. In Go and Killall-
Externí odkaz:
http://arxiv.org/abs/2411.05565
MuZero has achieved superhuman performance in various games by using a dynamics network to predict environment dynamics for planning, without relying on simulators. However, the latent states learned by the dynamics network make its planning process
Externí odkaz:
http://arxiv.org/abs/2411.04580
Although AlphaZero has achieved superhuman levels in Go, recent research has highlighted its vulnerability in particular situations requiring a more comprehensive understanding of the entire board. To address this challenge, this paper introduces Res
Externí odkaz:
http://arxiv.org/abs/2410.05347
Publikováno v:
IEEE Access, Vol 7, Pp 182784-182795 (2019)
Aiming at Articulated Road Roller (ARR) path planning near the construction area, a novel path planning method using Support Vector Machine (SVM) and Longest Accessible Path with Course Correction (LAP-CC) is proposed. First, the feasible path select
Externí odkaz:
https://doaj.org/article/11c5aa800c914b31852022dbd9ceef80
Publikováno v:
2022 International Symposium on Medical Robotics (ISMR), GA, USA, 2022, pp. 1-6
Positron Emission Tomography (PET) enables functional imaging of deep brain structures, but the bulk and weight of current systems preclude their use during many natural human activities, such as locomotion. The proposed long-term solution is to cons
Externí odkaz:
http://arxiv.org/abs/2311.17863
Game solving is a similar, yet more difficult task than mastering a game. Solving a game typically means to find the game-theoretic value (outcome given optimal play), and optionally a full strategy to follow in order to achieve that outcome. The Alp
Externí odkaz:
http://arxiv.org/abs/2311.07178
Autor:
Wu, Ti-Rong, Guei, Hung, Peng, Pei-Chiun, Huang, Po-Wei, Wei, Ting Han, Shih, Chung-Chin, Tsai, Yun-Jui
This paper presents MiniZero, a zero-knowledge learning framework that supports four state-of-the-art algorithms, including AlphaZero, MuZero, Gumbel AlphaZero, and Gumbel MuZero. While these algorithms have demonstrated super-human performance in ma
Externí odkaz:
http://arxiv.org/abs/2310.11305
This paper describes a Relevance-Zone pattern table (RZT) that can be used to replace a traditional transposition table. An RZT stores exact game values for patterns that are discovered during a Relevance-Zone-Based Search (RZS), which is the current
Externí odkaz:
http://arxiv.org/abs/2212.13922
The success of AlphaZero (AZ) has demonstrated that neural-network-based Go AIs can surpass human performance by a large margin. Given that the state space of Go is extremely large and a human player can play the game from any legal state, we ask whe
Externí odkaz:
http://arxiv.org/abs/2211.03769