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NEW

Multi Agent Deep RL with LoRA and QLoRA

Watch: LoRA & QLoRA Fine-tuning Explained In-Depth by Mark Hennings The demand for MARL has surged as industries seek solutions for dynamic, multi-participant environments. In robotics, agents coordinate tasks like warehouse logistics, where autonomous robots must manage shared spaces and avoid…
Thumbnail Image of Tutorial Multi Agent Deep RL with LoRA and QLoRA
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

Newline Guide to Multi Agent Deep Reinforcement Learning

Multi Agent Deep Reinforcement Learning (MADRL) has emerged as a transformative force across industries, addressing complex problems involving multiple interacting agents. Its significance lies in its ability to model real-world scenarios where cooperation, competition, and communication among…
Thumbnail Image of Tutorial Newline Guide to 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 vs Single Agent Deep Reinforcement Learning

Watch: Introduction to Multi-Agent Reinforcement Learning by MATLAB Deep Reinforcement Learning (DRL) has transform AI by enabling systems to learn complex decision-making processes through trial and error. However, the distinction between single-agent and multi-agent frameworks determines how…
Thumbnail Image of Tutorial Multi Agent vs Single 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.
•Last Updated:
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NEW

Types of Machine Learning with Multi Agent Deep RL

Watch: Introduction to Multi-Agent Reinforcement Learning by MATLAB Why Machine Learning with Multi Agent Deep RL Matters Machine Learning with Multi Agent Deep Reinforcement Learning (MARL) is reshaping industries by enabling systems of autonomous agents to collaborate, compete, or coexist in…
Thumbnail Image of Tutorial Types of Machine Learning with Multi Agent Deep RL
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

What is Reinforcement in Learning and Development

Watch: Reinforcement Learning from scratch by Graphics in 5 Minutes Reinforcement plays a critical role in learning and development by ensuring knowledge retention, adapting to individual learning needs, and aligning training outcomes with real-world goals. Industry data underscores its…
Thumbnail Image of Tutorial What is Reinforcement in Learning and 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:
00
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