Siddharth Nayak
Scholar

Siddharth Nayak

Google Scholar ID: XcgZhMwAAAAJ
Waymo
reinforcement learningroboticsautonomous control
Citations & Impact
All-time
Citations
213
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Publications can be found here (original link not provided).
Research Experience
  • Focused on developing learning-based methods for multi-agent robotics, specifically: scaling MARL in partially observable systems, long-horizon planning for multi-agent robotics, and creating human-interpretable communication protocols for MARL methods.
Education
  • PhD - AeroAstro Department, Massachusetts Institute of Technology (MIT)
Background
  • PhD candidate in the AeroAstro Department at MIT. Research interests lie in multi-agent robotics, especially in partially observable settings with limited communication bandwidth, and the interpretability of learning-based methods for autonomous navigation.
Miscellany
  • Enjoys playing musical instruments such as guitar, bass, piano, drums, and recorder, and shares some guitar videos on Instagram. Also interested in sketching, astrophotography, playing tennis, badminton, cricket, and swimming.