Mean scores of the last 100 episodes using PPO and DQN in Unity environment and ViZDoom. by Enoch Solomon (21416703)

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Mean reward of using visual information, visual information with raw audio samples in Unity ML environment. by Enoch Solomon (21416703)

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Proposed reinforcement learning architecture. by Enoch Solomon (21416703)

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The scenario used in Unity environment. Both the agent and target are spawned randomly at the start of the game anywhere in the game environment for each episode. by Enoch Solomon (21416703)

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The images shown correspond the downscaled images an agent receives in Unity environment. by Enoch Solomon (21416703)

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Mean reward of using only pixels and pixels with raw audio samples in ViZDoom environment. by Enoch Solomon (21416703)

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The mean and standard deviation of the test results are presented for the use of both visual information and raw audio samples in the Unity ML environment. by Enoch Solomon (21416703)

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Average success rate (%) of the test experiment on ViZDoom and Unity environments. by Enoch Solomon (21416703)

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The mean reward results of using visual information and audio samples in the ViZDoom environment. by Enoch Solomon (21416703)

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Box plot of Unity ML experiments using visual information, audio samples and combination of visual information and audio samples. by Enoch Solomon (21416703)

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Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" by Ziyu Lin (9151064)

Basic color value distribution map of the street. by Xin Han (1329648)

DEM error verified by airborne data. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Error of ICESat-2 with respect to airborne data. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Data used in this study. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Transect in parts of California. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Workflow of COP30DEM deviation correction model. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Error of models. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Prediction results of different models. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

“…Physicochemical Descriptors:</b></p><p dir="ltr">These features represent the primary characteristics of each nanoparticle and play a critical role in determining toxicity. …”