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I am a first-year MS student in UC San Diego Computer Science & Engineering Department. I received my Bachelor of Science in Computer Science (2020-2023) at UC San Diego. I am advised by Professor Sicun Gao and collaborate with Professor Sylvia Herbert's Safe Autonomous Systems Lab. My interests are in Robotics, Control, Optimization, and Reinforcement Learning. Contact: mganai at ucsd dot edu |
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Milan Ganai, Zheng Gong, Chenning Yu, Sylvia Herbert, and Sicun Gao NeurIPS 2023 (Conference on Neural Information Processing Systems) paper | openreview | code | website Hamilton-Jacobi reachability estimation for model-free safe RL in deterministic and stochastic environments with safety guarantees and convergence analysis. Tasks include lidar-based observations, dynamic obstacles, and multiple hard and soft constraints. |
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Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, and Sicun Gao ICRA 2023 (IEEE International Conference on Robotics and Automation) paper | IEEE | website Learning Lyapunov-like models offline from observation-only, expert data to solve stabilization control tasks online. Deployed in hardware for robustness testing. |
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Milan Ganai, Haichen Li, Theodore Enns, Yida Wang, and Randy Huang ML for Systems @ NeurIPS 2022 (Workshop on ML for Systems in Neural Information Processing Systems) paper | website Reinforcement Learning to determine XLA compiler optimization pass ordering to reduce GPT-2, BERT, and ResNet graph sizes. |
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Patrick McCormack, Milan Ganai, Ben Nachman, and Maurice Garcia-Sciveres CTD/WIT 2019 (Connecting the Dots / Workshop on Intelligent Trackers) paper Building boosted decision trees to classify reconstructed particle tracks as merged in high density particle physics environments. |
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