Zobrazeno 1 - 10
of 3 248
pro vyhledávání: '"P. A. Panov"'
The incorporation of memory into agents is essential for numerous tasks within the domain of Reinforcement Learning (RL). In particular, memory is paramount for tasks that require the utilization of past information, adaptation to novel environments,
Externí odkaz:
http://arxiv.org/abs/2412.06531
Publikováno v:
Physics of the Solid State. 2024. V. 66. No. 7. P. 1014-1018
Rare-earth orthonickelates RNiO3 are Jahn-Teller magnets, unstable with respect to the anti-Jahn-Teller disproportionation reaction with the formation of a system equivalent to a system of effective spin-triplet composite bosons moving in a non-magne
Externí odkaz:
http://arxiv.org/abs/2411.12613
Autor:
Yasinskaya, D. N., Panov, Y. D.
Publikováno v:
Physics of the Solid State 66 (7), 1068 (2024)
We analyze frustrated states of the one-dimensional dilute Ising chain with charged interacting impurities of two types with mapping of the system to some Markov chain. We perform classification and reveal two types of Markov chains: periodic with pe
Externí odkaz:
http://arxiv.org/abs/2411.11319
Autor:
Yasinskaya, Darya, Panov, Yury
Publikováno v:
Phys. Rev. E 110 (4), 044118 (2024)
This study provides a comprehensive analysis of the ground state and thermodynamic properties of a spin-pseudospin chain representing a model of a one-dimensional dilute magnet with two types of nonmagnetic charged impurities. For this purpose, a met
Externí odkaz:
http://arxiv.org/abs/2411.11104
Autor:
de Borbon, Martin, Panov, Dmitri
Let $\mathcal{H}$ be a hyperplane arrangement in $\mathbb{CP}^n$. We define a quadratic form $Q$ on $\mathbb{R}^{\mathcal{H}}$ that is entirely determined by the intersection poset of $\mathcal{H}$. Using the Bogomolov-Gieseker inequality for parabol
Externí odkaz:
http://arxiv.org/abs/2411.09573
Autor:
Staroverov, Aleksey, Alhaddad, Muhammad, Narendra, Aditya, Mironov, Konstantin, Panov, Aleksandr
We address a task of local trajectory planning for the mobile robot in the presence of static and dynamic obstacles. Local trajectory is obtained as a numerical solution of the Model Predictive Control (MPC) problem. Collision avoidance may be provid
Externí odkaz:
http://arxiv.org/abs/2410.06819
We present a fully autonomous real-world RL framework for mobile manipulation that can learn policies without extensive instrumentation or human supervision. This is enabled by 1) task-relevant autonomy, which guides exploration towards object intera
Externí odkaz:
http://arxiv.org/abs/2409.20568
Autor:
Jamal, Mais, Panov, Aleksandr
Decision-making, motion planning, and trajectory prediction are crucial in autonomous driving systems. By accurately forecasting the movements of other road users, the decision-making capabilities of the autonomous system can be enhanced, making it m
Externí odkaz:
http://arxiv.org/abs/2409.10165
This paper examines nucleosynthesis in a low-mass neutron star crust that loses mass due to accretion in a close binary system and, reaching a hydrodynamically unstable configuration explodes. The r-process proceeds mainly in the inner crust. Nucleos
Externí odkaz:
http://arxiv.org/abs/2409.05059
Multi-agent pathfinding (MAPF) is a challenging computational problem that typically requires to find collision-free paths for multiple agents in a shared environment. Solving MAPF optimally is NP-hard, yet efficient solutions are critical for numero
Externí odkaz:
http://arxiv.org/abs/2409.00134