Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Network architectures for multi-agents task. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Data and code resources. by Sam Hall-McMaster (10343795)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Power output variation diagram for each intelligent agent. by Weilin Wu (13736)

Subjects:

Incremental cost variation chart for each intelligent agent. by Weilin Wu (13736)

Subjects:

Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

The source code of LazyAct. by Hongjie Zhang (136127)

“…However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Agent learning of FilmTrust dataset across various parameters. by Muhammad Waqar (500788)

Simulation of multiple agents minimizing the dissonance function following homophily by Mohsen Raoufi (18775639)

Subjects:

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”