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In this paper we address this problem by exploring the use of data-driven methods since they can achieve near-optimal performance with a low computational complexity. Deep reinforcement learning (DRL) ...
Accounting firms would be providing bookkeeping, payroll, VAT obligations, among other mainstream services. Beyond just reconciliation and filing taxes, ...
For better reflecting the interactive defense between targets in practical combat scenarios, the basic weapon-target allocation (WTA) framework needs to be improved. A multi-stage attack WTA method is ...
To build a high-performance supercapacitor, chemical surface modification and hierarchically porous construction are two widely adopted routes for electrode materials design. Unfortunately, they are ...
It is benchmarked against BSE 500 Total Return Index. Asset Allocation & Portfolio Composition 1. The asset allocation of the fund comprises around 94.39% in equities, 0.0% in debts and 5.61% in cash ...
This paper proposes a distributed multi round auction algorithm FMMRA that maximizes task cost-effectiveness, in response to the current application of auction algorithms to solve multi-agent task ...