Scholar
Akansha Kalra
Google Scholar ID: QrkO660AAAAJ
University of Utah
Citations & Impact
Citations
18
H-index
3
i10-index
0
Publications
4
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- 2023 - Won 1st place in Paradigm Challenge at Human-AI Teaming Hackathon organized by U.S. Army Research Lab.
- 2022 - Awarded Graduate Fellowship from School of Computing, University of Utah.
- 2018 - Awarded Honors degree in B.E. by Panjab University, given to top 5 students in the whole department for maintaining the highest GPA throughout 4 years consistently.
- Paper: 'How vulnerable is my learned policy? Adversarial attacks on modern behavioral cloning policies', Authors: Basavasagar Patil, Akansha Kalra, Guanhong Tao, Daniel S. Brown, Under Submission at ICLR 2025.
- Paper: 'Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?', Authors: Akansha Kalra, Daniel S. Brown, In Reinforcement Learning Journal (RLJ) | Presented at the Reinforcement Learning Conference (RLC), Amherst Massachusetts, August 9–12, 2024.
- Paper: 'Interpretable Reward Learning via Differentiable Decision Trees', Authors: Akansha Kalra, Daniel S. Brown, Oral Presentation at ML Safety Workshop, NeurIPS 2022. Refer to RLJ|RLC publication for extended version of this work.
- Paper: 'Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs', Authors: Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong, In IEEE/ACM Transactions on Networking 30.1 (2021): 215-228.
Research Experience
- No specific research experience or position information provided.
Background
- Research Interests: Reinforcement Learning from Human Feedback (RLHF), Human-AI Interaction and Alignment, Applied Reinforcement Learning, Interpretability and Explainability in Deep RL (XRL).
Miscellany
- No personal interests or other related information provided.
