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pro vyhledávání: '"Denoyer, A"'
In dynamic domains such as autonomous robotics and video game simulations, agents must continuously adapt to new tasks while retaining previously acquired skills. This ongoing process, known as Continual Reinforcement Learning, presents significant c
Externí odkaz:
http://arxiv.org/abs/2412.14865
Offline Reinforcement Learning (RL) has emerged as a powerful alternative to imitation learning for behavior modeling in various domains, particularly in complex navigation tasks. An existing challenge with Offline RL is the signal-to-noise ratio, i.
Externí odkaz:
http://arxiv.org/abs/2411.07760
Developing agents for complex and underspecified tasks, where no clear objective exists, remains challenging but offers many opportunities. This is especially true in video games, where simulated players (bots) need to play realistically, and there i
Externí odkaz:
http://arxiv.org/abs/2411.01894
Akademický článek
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Autor:
Heiniger, Alix
Publikováno v:
Vingtième Siècle. Revue d'histoire, 2018 Jul 01(139), 293-294.
Externí odkaz:
https://www.jstor.org/stable/26541600
Standard cooperative multi-agent reinforcement learning (MARL) methods aim to find the optimal team cooperative policy to complete a task. However there may exist multiple different ways of cooperating, which usually are very needed by domain experts
Externí odkaz:
http://arxiv.org/abs/2308.14308
Deep reinforcement learning (DRL) techniques have become increasingly used in various fields for decision-making processes. However, a challenge that often arises is the trade-off between both the computational efficiency of the decision-making proce
Externí odkaz:
http://arxiv.org/abs/2308.09629
Autor:
Pigenet, Phryné
Publikováno v:
Revue d'histoire moderne et contemporaine (1954-), 2018 Jan 01. 65(1), 214-216.
Externí odkaz:
https://www.jstor.org/stable/44986758
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780190245115.001.0001/acref-9780190245115-e-18481
Autor:
Xiaodan Zhang, Tianhong Cheng, Ellie Cho, Wenjia Lu, Delphine Denoyer, Paul McMillan, Kalyan Shobhana, Swati Varshney, Nicholas A. Williamson, Alastair Stewart
Publikováno v:
Pharmacological Research, Vol 210, Iss , Pp 107519- (2024)
Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the d
Externí odkaz:
https://doaj.org/article/e44fe74df1654e5bada7fdbc506d06f2