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NEW

How Multi Agent Deep RL Improves AI Inferences

Multi Agent Deep Reinforcement Learning (MADRL) is reshaping AI inference by enabling systems to handle complex, dynamic environments where multiple decision-makers interact. As industries face growing demands for real-time decision-making-such as autonomous vehicles managing crowded streets or…
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Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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How to Apply Multi Agent Deep Reinforcement Learning

Multi Agent Deep Reinforcement Learning (MADRL) is transforming industries by addressing complex problems that single-agent systems cannot solve. Its adoption has grown rapidly, driven by advancements in algorithms like centralized training with decentralized execution (CTDE) and value…
Thumbnail Image of Tutorial How to Apply Multi Agent Deep Reinforcement Learning
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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NEW

Multi Agent Deep RL Concepts and Techniques

Multi Agent Deep Reinforcement Learning (MADRL) has emerged as a transformative force in addressing complex, real-world problems across industries. By combining deep learning with multi-agent systems, MADRL enables agents to coordinate, adapt, and learn in dynamic environments. This section…
Thumbnail Image of Tutorial Multi Agent Deep RL Concepts and Techniques
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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NEW

AI Everywhere, Human Remains Central

Watch: Could AI End Humanity in Five Years? Ronny Chieng Investigates | The Daily Show by The Daily Show Human centrality remains the cornerstone of AI-driven business success, ensuring ethical, effective, and sustainable outcomes. While AI systems excel at processing data and automating tasks,…
Thumbnail Image of Tutorial AI Everywhere, Human Remains Central
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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NEW

PostgreSQL Surpasses OpenAI in AI Development

Watch: OpenAI Runs On Postgres! by Mehul Mohan PostgreSQL plays a critical role in AI development by combining scalability, flexibility, and cost-effectiveness for managing large-scale, high-performance workloads. Its ability to handle read-heavy AI applications, integrate vector search…
Thumbnail Image of Tutorial PostgreSQL Surpasses OpenAI in AI Development
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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