Rituraj Kaushik
About Rituraj Kaushik
Rituraj Kaushik is a Doctoral Researcher at Inria in France, specializing in reinforcement learning and policy search for robotics. He has a background in software engineering and holds degrees in Electronics and Communications from Tezpur University.
Work at Inria
Rituraj Kaushik has been a Doctoral Researcher at Inria since 2016. His research is centered on reinforcement learning and policy search, particularly in the context of robotics. He has developed data-efficient model-based policy search algorithms that address both non-sparse and sparse reward scenarios. His work contributes to advancing the capabilities of robots to learn and adapt new skills efficiently.
Previous Experience at Capgemini
Prior to his role at Inria, Rituraj Kaushik worked as a Software Engineer at Capgemini from 2012 to 2013. During his tenure at Capgemini, he gained practical experience in software development, which laid a foundation for his future research and technical skills.
Education and Expertise
Rituraj Kaushik holds a Bachelor of Technology in Electronics and Communication from Tezpur University, which he completed from 2008 to 2012. He further pursued a Master of Technology in Design and Electronics at the same institution, graduating in 2016. His educational background provides a strong foundation in engineering principles and programming languages, including modern C++, Python, and Matlab.
Research Focus and Contributions
Rituraj Kaushik's research focuses on reinforcement learning and policy search methodologies in robotics. He has made significant contributions by developing algorithms that enhance the efficiency of robots in learning new skills. His work is particularly relevant in scenarios with varying reward structures, which is critical for advancing robotic capabilities.