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

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)

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. …”

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:

The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input. by Dong Hyeok Choi (12562048)

“…<p>The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.…”

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:

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. …”

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:

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Overall flowchart of Multi-agent fusion model. by Yandong Liu (11893664)

Subjects:

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. …”