Shripad Deshmukh
Scholar

Shripad Deshmukh

Google Scholar ID: g90em_oAAAAJ
PhD candidate at UMass Amherst
Reinforcement LearningHuman-centric Decision MakingMultimodal Learning
Citations & Impact
All-time
Citations
186
 
H-index
4
 
i10-index
1
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: ICLR 2023 (work on explainability of RL agents), WACV 2023 (work on advanced search in documents), ICLR 2020 (internship work).
Research Experience
  • Applied Machine Learning Research role at Adobe (India) (2020-2023), contributed to solving problems in semantic analysis of PDF forms, explainability of reinforcement learning (RL) agents, image editing using language, and video segmentation.
Education
  • PhD: University of Massachusetts, Amherst, Advisor: Prof. Scott Niekum; B.Tech in Electrical Engineering from Indian Institute of Technology Madras (2016-2020).
Background
  • Research interest: Designing safe and efficient reinforcement learning (RL) agents. Field of expertise: Machine Learning and Reinforcement Learning.
Miscellany
  • In leisure time, likes to read, write, and explore. Memorable places visited include Newport (Rhode Island), NYC, and Manali (Himalayas).
Co-authors
0 total
Co-authors: 0 (list not available)