Siddharth Mysore
Computer Scientist
Greater Vancouver Metropolitan Area Canada
Summary
👤
Senior🎓
Top SchoolSiddharth Mysore is a Machine Learning Research Engineer at Electronic Arts with a decade of experience applying practical reinforcement learning to videogames and robotics. He earned a PhD-level research background at Boston University after advanced degrees in Robotics (MSE, UPenn) and Mechatronics (MEng, Nottingham), bringing strong simulation-to-reality expertise. At EA he builds ML tools that improve in-game simulation, animation, and character control, focusing on robustness and performance for developer workflows. His work leverages large-scale simulated data to create adaptable AI with applications spanning robotics, mixed reality, and creative tools. Based in Greater Vancouver, he blends academic rigor with production engineering, often bridging research prototypes into shipped game systems. Outside core work, he curates technical insights on his personal site, reflecting a practical, systems-first approach to RL in interactive environments.
10 years of coding experience
Boston University
English, German, Kannada
Github Skills (27)
gymnasium9
q-learning9
reinforcement-learning8
qt7
machine-learning7
deep-learning7
mavlink6
mujoco5
deep-reinforcement-learning5
android5
linux5
windows5
meta5
ios5
station5
Programming languages (3)
Github contributions (5)
sidmysore/gym
Feb 2019 - Mar 2019
A toolkit for developing and comparing reinforcement learning algorithms.
Contributions:2 PRs, 2 pushes in 8 days
comparingreinforcement-learning-algorithmsdevelopingdeep-learningreinforcement-learning
VisionLearningGroup/VisionLearningGroup.github.io
Oct 2020 - Mar 2022
Contributions:23 commits, 19 pushes in 1 year 5 months
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