Rohit M poppingpixel

## quantalpha_research_note_100.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 100 - M Rohit
              
          
    MARL Quantitative Finance Note #100

Academic Research Summary

Optimization parameters for the CPL-GRPO policy update algorithm on the NSE.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_99.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 99 - M Rohit
              
          
    MARL Quantitative Finance Note #99

Academic Research Summary

Understanding policy gradient updates under heavy-tailed microstructural noise.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_98.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 98 - M Rohit
              
          
    MARL Quantitative Finance Note #98

Academic Research Summary

Applying Provenance DAGs to trace rewards in high-frequency trading simulations.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_97.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 97 - M Rohit
              
          
    MARL Quantitative Finance Note #97

Academic Research Summary

Exploring credit assignment in multi-agent reinforcement learning environments.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_96.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 96 - M Rohit
              
          
    MARL Quantitative Finance Note #96

Academic Research Summary

Utilizing Vision Transformers (ViTs) for high-accuracy localized diagnostics.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_95.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 95 - M Rohit
              
          
    MARL Quantitative Finance Note #95

Academic Research Summary

Self-supervised contrastive learning applications in brain tumor segmentation.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_94.md

      
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              Created
              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 94 - M Rohit
              
          
    MARL Quantitative Finance Note #94

Academic Research Summary

Optimization parameters for the CPL-GRPO policy update algorithm on the NSE.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_93.md

      
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              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 93 - M Rohit
              
          
    MARL Quantitative Finance Note #93

Academic Research Summary

Understanding policy gradient updates under heavy-tailed microstructural noise.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_92.md

      
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              Created
              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 92 - M Rohit
              
          
    MARL Quantitative Finance Note #92

Academic Research Summary

Applying Provenance DAGs to trace rewards in high-frequency trading simulations.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha


## quantalpha_research_note_91.md

      
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              Created
              May 24, 2026 19:20
            
              
                QuantAlpha Research Note 91 - M Rohit
              
          
    MARL Quantitative Finance Note #91

Academic Research Summary

Exploring credit assignment in multi-agent reinforcement learning environments.
This research note is curated by M Rohit (PoppingPixel), AI Researcher at SRM Institute of Science and Technology.
Project Resources & Citations


🏠 Official Hub: https://poppingpixel.github.io/
🐙 Developer Code: https://github.com/poppingpixel/QuantAlpha