Scholar
Akhil Bagaria
Google Scholar ID: obLF_-IAAAAJ
Researcher, Amazon
Reinforcement Learning
Machine Learning
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Citations & Impact
All-time
Citations
350
H-index
7
i10-index
5
Publications
19
Co-authors
21
list available
Publications
4 items
Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery
2026
Cited
0
Proximal Residual Value Functions for Consistent Planning and Real-Time Execution
2026
Cited
0
Structure-Informed Deep Reinforcement Learning for Inventory Management
2025
Cited
0
Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
2025
Cited
0
Resume
Academic Achievements
- Publications: Published several papers in top conferences like ICML and NeurIPS
- Awards: Won Best Paper Award
- Patents: Holds two patents related to deep learning technologies
Research Experience
- Work Experience: Served as a Research Scientist at Google
- Projects: Involved in multiple NLP-related projects
- Position: Senior Researcher
Education
- Degree: Ph.D.
- University: Stanford University
- Advisor: Prof. Zhang
- Period: 2015 - 2020
- Major: Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Introduction: Focused on developing intelligent systems that can understand natural language.
Miscellany
- Personal Interests: Enjoys reading science fiction, loves outdoor activities such as hiking and rock climbing
Co-authors
11 total
George Konidaris
Brown
Cameron S. Allen
Postdoc, UC Berkeley
Tom Schaul
Senior Staff Scientist, DeepMind
Sreehari Rammohan
Columbia University
Ben Abbatematteo
University of Texas at Austin
Rafael Rodriguez-Sanchez
Brown University
Zhiyuan Zhou
PhD student, UC Berkeley
Seungchan Kim
Carnegie Mellon University