Piyush completed his Ph.D. in computer science at the University of Texas at Austin in May 2017. After his Ph.D., he started working at Cogitai Inc., which became a part of the Sony AI organization in 2019. Piyush received his undergraduate degree at the Indian Institute of Technology Roorkee in India in computer science and engineering in 2009 and his master's degree in computer science at UT Austin in 2011.
“While my research background is in robotics and reinforcement learning, I like solving all problems and assisting my team in whatever capacity they need. For this reason, I’ve worked on many teams in Sony AI -- including core research, research engineering, cloud engineering, and technical support. I specialize in introspecting large systems and problems and quickly determining the steps necessary to improve them.”
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block…
Efficient Real-Time Inference in Temporal Convolution Networks
It has been recently demonstrated that Temporal Convolution Networks (TCNs) provide state-of-the-art results in many problem domains where the input data is a time-series. TCNs typically incorporate information from a long history of inputs (the receptive field) into a singl…
May 30, 2022 | Sony AI
Meet the Team #5: Craig, Piyush, and Samuel
The fifth installment of our Meet the Team series features members of the global Sony AI team who contributed to the groundbreaking research, Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning, and created th…
The fifth installment of our Meet the Team series features members of the global Sony AI team who contributed to the groundbreakin…
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