Flow chart of improved first-order lag average filtering algorithm. by Shaohua Fu (10573209)

The flow chart of PWOQLA. by Ying Li (38224)

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The flow chart of PWOA. by Ying Li (38224)

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Objective function value statistics. by Chao Li (145513)

Variation of function values by ADM with different tolerable waiting times. by Yuxuan Long (17720796)

Flow Φ of the controlled continuous time PDMP. by Benoîte de Saporta (20454662)

“…Instead of discretizing the problem with a discrete Markov Decision Process, we apply the Partially-Observed Monte-Carlo Planning algorithm to solve the continuous-time, continuous-state problem, leveraging the near-deterministic nature of cancer progression. …”

Artificial bee colony algorithm flow based on uniform mapping and collaborative acquisition control. by Jianpeng Zhang (528185)

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Width of stripes as a function of time. by Pratik Mullick (12851011)

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Model intrinsic parameter flow. by Dawei Wang (471687)

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Overview of algorithm. by Takayuki Niizato (162226)

Two-dimensional benchmark test-functions. by Salisu Mohammed (772274)

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Thirty-dimensional benchmark test-functions. by Salisu Mohammed (772274)

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Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

Membership function of output for tank 2. by Tamiru Demelash Kassie (20678515)

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Four, five, and ten-dimensional benchmark test-functions. by Salisu Mohammed (772274)

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Plots of convergence curves on 2-D benchmark functions. by Salisu Mohammed (772274)

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Plots of convergence curves on 30-D benchmark functions. by Salisu Mohammed (772274)

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