Saptarashmi Bandyopadhyay
I'm Saptarashmi, a Student Researcher at Google AI AR in Summer 2024, Fall 2024 and Spring 2025 collaborating with Google DeepMind and a 5th year PhD student (PhD Candidate) of Computer Science at the University of Maryland, College Park (UMD), having started my PhD in Fall 2020. As a PhD student, I've also been an AI Resident at GoogleX, Alphabet's Moonshot Factory in Summer 2023.
My Ph.D. thesis topic is on "Multi-Agent Autonomous Decision Making in Artificial Learning" focusing on Deep Multi-agent Learning like Multi-agent Reinforcement Learning (RL), Multi-agent Imitation Learning (IL), Multi-Agent Meta Learning, Multi-Agent Self Supervised Learning (SSL) and other Multi-Agent Learning paradigms in real world problems such as multimodal agents, embodied agents, climate conservation, economic applications like autonomous orchestration in supply chains, stock portfolio optimization, recommender systems, AI alignment, Game Theory, Multilingual AI Agents (specially low-resource languages) & AI privacy among others. Before joining as a Student Researcher Intern, I've been a Lead PhD student RA in a DoD project for Multi-Agent Explainable AI, correcting feedback of AI Agents. I have also developed libraries to speedup multi-agent evolutionary training in simulation environments by 12500x times with JAX like JAXMARL in collaboration with researchers at Google DeepMind, Oxford University, Waymo, interactive ML for Education with researchers at Carnegie Mellon University, Asset Representations in Multi-agent RL and Prediction of Vulnerable Hotspots of Deforestation in Indonesia at UMD among other research works.
My papers have been published at AAAI, NeurIPS (ML), AAMAS (AI Agents), EMNLP, ACL (NLP); SPIE (Medical Computer Vision). I'm also the Lead Organizer and Workshop Chair of the accepted AAAI 2025 workshop on Multi-Agent AI in the Real World workshop to be held in Philadelphia, organizing with Aleksandra Faust in Google DeepMind US, Andrea Colaco in Google AI Augmented Reality, John Dickerson and Tom Goldstein at the University of Maryland, College Park and other co-organizers from Carnegie Mellon University, ETH Zurich, University of Maryland, College Park, Google DeepMind Robotics, Google DeepMind UK, Columbia University and Arthur AI. (Details in our website: https://sites.google.com/corp/view/marw-ai-agents).
If you are interested in AI Agents, you may be interested in the Multi-Agent AI Reading Group https://go.umd.edu/marl at UMD in 2022 with 1090 participants from 6 continents with prominent research speakers and talk resources from industry and academia including Turing Award Laureates. Talk details and the Google Form to join the talks are on our website.
Further details can be found on https://sites.google.com/view/saptarashmi/about
My Ph.D. thesis topic is on "Multi-Agent Autonomous Decision Making in Artificial Learning" focusing on Deep Multi-agent Learning like Multi-agent Reinforcement Learning (RL), Multi-agent Imitation Learning (IL), Multi-Agent Meta Learning, Multi-Agent Self Supervised Learning (SSL) and other Multi-Agent Learning paradigms in real world problems such as multimodal agents, embodied agents, climate conservation, economic applications like autonomous orchestration in supply chains, stock portfolio optimization, recommender systems, AI alignment, Game Theory, Multilingual AI Agents (specially low-resource languages) & AI privacy among others. Before joining as a Student Researcher Intern, I've been a Lead PhD student RA in a DoD project for Multi-Agent Explainable AI, correcting feedback of AI Agents. I have also developed libraries to speedup multi-agent evolutionary training in simulation environments by 12500x times with JAX like JAXMARL in collaboration with researchers at Google DeepMind, Oxford University, Waymo, interactive ML for Education with researchers at Carnegie Mellon University, Asset Representations in Multi-agent RL and Prediction of Vulnerable Hotspots of Deforestation in Indonesia at UMD among other research works.
My papers have been published at AAAI, NeurIPS (ML), AAMAS (AI Agents), EMNLP, ACL (NLP); SPIE (Medical Computer Vision). I'm also the Lead Organizer and Workshop Chair of the accepted AAAI 2025 workshop on Multi-Agent AI in the Real World workshop to be held in Philadelphia, organizing with Aleksandra Faust in Google DeepMind US, Andrea Colaco in Google AI Augmented Reality, John Dickerson and Tom Goldstein at the University of Maryland, College Park and other co-organizers from Carnegie Mellon University, ETH Zurich, University of Maryland, College Park, Google DeepMind Robotics, Google DeepMind UK, Columbia University and Arthur AI. (Details in our website: https://sites.google.com/corp/view/marw-ai-agents).
If you are interested in AI Agents, you may be interested in the Multi-Agent AI Reading Group https://go.umd.edu/marl at UMD in 2022 with 1090 participants from 6 continents with prominent research speakers and talk resources from industry and academia including Turing Award Laureates. Talk details and the Google Form to join the talks are on our website.
Further details can be found on https://sites.google.com/view/saptarashmi/about
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