Srikar Babu Gadipudi

Hello! I am a PhD student in EECS at UC Berkeley, advised by Prof. Claire Tomlin and Prof. Somayeh Sojoudi. I am interested in reinforcement learning and its applications to real-world systems, from multi-agent robotics to LLMs, with a focus on safety, scalability and offline learning.

Previously, I completed my bachelor’s at IIT Madras. During this time, I am grateful to have worked with Prof. Katia Sycara, Prof. Hatice Gunes and Prof. Rachel Kalaimani.

News

Jan 31, 2026 Our paper on offline RL for informative path planning has been accepted at L4DC.
Aug 15, 2025 Starting my PhD journey at UC Berkeley!
Mar 04, 2025 Our paper on causal analysis of human-robot interactions for mental health and well-being has been accepted at IEEE RO-MAN.
Oct 12, 2024 Our paper on reinforcement learning for dynamic pricing under competition won the Best Student Paper Award at ICSTCC.
Sep 25, 2024 Our work on offline RL for informative path planning (OffRIPP) will be presented at ICRA 2025 workshop on robust planning and control.
Sep 01, 2024 Our paper on offline RL for HVAC control using low-fidelity simulation data has been accepted at the International Conference on AI-ML Systems.
Jun 03, 2024 Excited to spend the summer at CMU as a part of the Robotics Institute Summer Scholars Program (RISS) working with Prof. Katia Sycara on offline RL for informative path planning.