Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Kolesnikov Sergey"'
Publikováno v:
BIO Web of Conferences, Vol 108, p 14009 (2024)
The work objective is to evaluate the ecotoxicity of silver nanoparticles (AgNPs) according to the state of the biota of Haplic Chernozems Calcic. Contamination of Haplic Chernozems Calcic with 10 nm AgNPs in concentrations of 0.1, 0.5, 1, 5, 10, 50,
Externí odkaz:
https://doaj.org/article/ef4b1e1af4a440d696fd912b8cb8f67d
Bayesian Personalized Ranking (BPR), a collaborative filtering approach based on matrix factorization, frequently serves as a benchmark for recommender systems research. However, numerous studies often overlook the nuances of BPR implementation, clai
Externí odkaz:
http://arxiv.org/abs/2409.14217
Autor:
Nikulin, Alexander, Zisman, Ilya, Zemtsov, Alexey, Sinii, Viacheslav, Kurenkov, Vladislav, Kolesnikov, Sergey
Following the success of the in-context learning paradigm in large-scale language and computer vision models, the recently emerging field of in-context reinforcement learning is experiencing a rapid growth. However, its development has been held back
Externí odkaz:
http://arxiv.org/abs/2406.08973
Publikováno v:
Soil & Environment, Vol 38, Iss 2, Pp 170-180 (2019)
The impact of ameliorants on the biological condition of ordinary black soil in the south of European Russia (Rostov district) after oil pollution has been analyzed. The impact of ameliorants of different nature like urea, glauconite, potassium humat
Externí odkaz:
https://doaj.org/article/e1f380c20a464dc3af408ceab8294697
This article is the third in the series. It is devoted the calculation of the structure constants for the complex simple Lie algebra of type E_6 and Chevalley commutator formulas.
Comment: arXiv admin note: text overlap with arXiv:2312.03439
Comment: arXiv admin note: text overlap with arXiv:2312.03439
Externí odkaz:
http://arxiv.org/abs/2403.10038
Autor:
Kolesnikov, Sergey G.
This article is the second in the series and is devoted to the type G_2. The work consists of two parts. In the first part we calculate the structure constants of the complex simple Lie algebra of type G_2. All structure constants are represented as
Externí odkaz:
http://arxiv.org/abs/2312.15226
Recently, it has been shown that transformers pre-trained on diverse datasets with multi-episode contexts can generalize to new reinforcement learning tasks in-context. A key limitation of previously proposed models is their reliance on a predefined
Externí odkaz:
http://arxiv.org/abs/2312.13327
Recently, extensive studies in Reinforcement Learning have been carried out on the ability of transformers to adapt in-context to various environments and tasks. Current in-context RL methods are limited by their strict requirements for data, which n
Externí odkaz:
http://arxiv.org/abs/2312.12275
Autor:
Nikulin, Alexander, Kurenkov, Vladislav, Zisman, Ilya, Agarkov, Artem, Sinii, Viacheslav, Kolesnikov, Sergey
Inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid, we present XLand-MiniGrid, a suite of tools and grid-world environments for meta-reinforcement learning research. Written in JAX, XLand-MiniGrid is designed t
Externí odkaz:
http://arxiv.org/abs/2312.12044
Uncertainty estimation is crucial in safety-critical applications, where robust out-of-distribution (OOD) detection is essential. Traditional Bayesian methods, though effective, are often hindered by high computational demands. As an alternative, Lap
Externí odkaz:
http://arxiv.org/abs/2312.10464