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Mohammad Mohammadi I am a Ph.D. student in Computer Science at the University of Toronto, where I am advised by Prof. Igor Gilitschenksi. Currently, I am doing an internship at Robot Learning Lab of University of Freiburg. I received my Bachelor's degree in Computer Engineering from Sharif University of Technology. During my Bachelor, I had the chance to intern at EPFL, Max-Planck Institute, and CUHK. Email / CV / Google Scholar / Github |
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ResearchGenerally, I am interested in designing intelligent systems, e.g. active agents, capable of high real-world performance. My current research area is Event-Based Vision, employing state-of-the-art Computer Vision, Deep Learning, and Reinforcement Learning methods. |
Publications and Pre-prints |
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Implicit Poisoning Attacks in Two-Agent Reinforcement Learning:
Adversarial Policies for Training-Time Attacks
Mohammad Mohammadi *, Jonathan Nöther *, Debmalya Mandal, Adish Singla, Goran Radanovic AAMAS, 2023 In this paper, we study targeted poisoning attacks in a two-agent setting where an attacker implicitly poisons the effective environment of one of the agents by modifying the policy of its peer. |
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PALMER: Perception-Action Loop with Memory for Long-Horizon
Planning
Onur Beker, Mohammad Mohammadi, Amir Zamir NeurIPS, 2022 project page We introduce PALMER, a long-horizon planning method that directly operates on high dimensional sensory input observable by an agent on its own (e.g., images from an onboard camera). |
More about me! |
| I'm a big fan of stand-up comedy (Dave Chappelle and Bill Burr are my all-time favorites). I'm always up for exploring new cafes and trying out their lattes! In my free time, you can find me at the gym, lost in a good book, or just hanging out with friends. I've got a soft spot for tennis, and there's nothing like the joy of hiking in the great outdoors! |
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Design and source code from Jon Barron's website. |