Srikar Babu Gadipudi

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I am an incoming PhD student in EECS at the University of California, Berkeley, where I will be advised by Prof. Somayeh Sojoudi. I recently completed my bachelor’s in Electrical Engineering (with a minor in Artificial Intelligence) at the Indian Institute of Technology Madras (IIT Madras). My academic and research interests lie at the intersection of reinforcement learning (RL) and control theory. I am particularly interested in multi-agent systems, offline RL and safety and robustness in control.

Some of my previous work includes researching offline RL for informative path planning with Prof. Katia Sycara, optimal dynamic pricing using RL in competitive markets with Prof. Rachel Kalaimani and identifying causal relations between robot actions and human perception with Prof. Hatice Gunes. For a comprehensive overview of my research background, please refer to my CV.

News

Oct 12, 2024 Our paper titled “Reinforcement Learning for Dynamic Pricing under Competition for Perishable Products” won the Best Paper Award at the 28th International Conference on System Theory, Control and Computing (ICSTCC).
Sep 01, 2024 Our paper on offline RL for HVAC control using low-fidelity simulation data has been accepted at the 4th International Conference on AI-ML Systems.
Jun 03, 2024 Excited to spend the summer at Carnegie Mellon University as a part of the Robotics Institute Summer Scholars Program (RISS) working with Prof. Katia Sycara on offline reinforcement learning for informative path planning.