Scholar
Harshad Khadilkar
Google Scholar ID: y9efmmsAAAAJ
Data Science Lead, Tata Group; Visiting Associate Professor, IIT Bombay
Multi-Agent AI
Control
Optimisation
Reinforcement Learning
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Citations & Impact
All-time
Citations
1,660
H-index
19
i10-index
34
Publications
20
Co-authors
15
list available
Publications
7 items
Learning Explainable Representations of Complex Game-playing Strategies
2026
Cited
0
Converting Expert Deliberation into Financial Signals Through A Context-Aware NLP Pipeline
2026
Cited
0
Using Common Random Numbers for Simulation-based Planning with Rollouts
2026
Cited
0
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management
2026
Cited
0
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead
2025
Cited
0
Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
2025
Cited
0
AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
2025
Cited
0
Co-authors
7 total
Hamsa Balakrishnan
Massachusetts Institute of Technology
Tanuja Ganu
Microsoft Research
Balaraman Ravindran
Professor of Data Science and AI, Wadhwani School of Data Science and AI, IIT Madras
Somjit Nath
McGill University, Mila
Mayank Baranwal
Senior Scientist at TCS Research, Adjunct Professor at IIT Bombay
Vikas Chandan
Senior Scientist, GE Vernova
Mohit Jain
Microsoft Research
