Benchmarking Large Language Models for Path Planning on Discrete Grids
October-December 2023
We explore the generalizability of LLMs on discrete path planning tasks, utilizing Chain of Thought reasoning and existing foundational models. These are finetuned on several novel discrete tasks, discussing trade-offs associated with each. Done as the final project for CS 6756 (Learning for Robot Decision Making).
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LQR and iLQR for N-link Manipulators
September-December 2023
Implemented manipulator dynamics, LQR, and iLQR to control N-link manipulators. Done as the final project for ECE 6210 (Linear Systems).
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iQuHACK Hackathon Submission
January 2022
Created a mini-game that involves rotating 2-qubit statevectors into target statevectors using basic quantum gates. Implemented an adversarial mode (vs. a bot) with Deep Q-Learning.
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Tutor/Tutee Pairing
August 2020
Developed algorithms for tutor/tutee matching for over 1000 students in the Conejo Valley. Presented to the CVUSD Board of Education.
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Optimizing A* Pathfinding
March-May 2021
Theorized a model to optimize A* pathfinding by restricting the heuristic to pre-drawn paths. Allowed for exponential speedups in time complexity with minimal loss in accuracy.
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