Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

Abstract We show that the number of isomorphism classes left braces order 64 with additive group isomorphic to $$C_2\times C_2\times C_4\times C_4$$ C 2 × 4 is $$10{,}326{,}821$$ 10 ,</mml...

We present an analysis of the NuSTAR and Swift spectra black hole candidate MAXI J1813-095 in a failed-transition outburst 2018. The observations show evidence reflected emission from inner region accretion disc. By modelling reflection component spectra, we find disc radius $R_{\rm in}<7$ $r_{\rm g}$. This result suggests that either slightly truncated or non-truncated forms at few percent Edd...

Conventional machine learning (ML) relies heavily on manual design from experts to decide tasks, data, models, optimization algorithms, and evaluation metrics, which is labor-intensive, time-consuming, cannot learn autonomously like humans. In education science, self-directed learning, where human learners select tasks materials their own without requiring hands-on guidance, has been shown be m...

For α≥1, β≥0, and a graph G, spanning subgraph H of G is said to be an (α,β)-spanner if dist(u,v,H)≤α⋅dist(u,v,G)+β holds for any pair vertices u v. These type spanners, called linear generalizes additive spanners multiplicative spanners. Recently, Fomin, Golovach, Lochet, Misra, Saurabh, Sharma initiated the study directed graphs (IPEC 2020). In this article, we continue line research prove th...

One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...

One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...