Aaron Trinh

Hi! I'm a second year Computer Science undergraduate student at Georgia Tech, where I've been fortunate to work with Prof. Sehoon Ha and Prof. Bo Dai.

My research interest is in enabling learning of intelligent agents with many generalizable and adaptable capabilities. To this end, I am interested in foundation models for decision making, learning world models from large-scale data for planning, and data-driven reinforcement learning.

atrinh31 [at] gatech [dot] edu  /  Scholar  /  Github  /  LinkedIn

profile photo

Research

(* indicates equal contribution)
Towards Better Instruction Following Retrieval Models
Yuchen Zhuang*, Aaron Trinh*, Rushi Qiang*, Haotian Sun, Chao Zhang, Hanjun Dai, Bo Dai
arXiv, 2025
arXiv / code / data

Projects
Efficient Skill-based Reinforcement Learning
Course Project CS 8803 DRL
code

A model-based RL framework that extracts reusable skills from rewardless offline data and reuses the data by relabeling with an optimistic reward estimator for efficient exploration through the learned dynamics model

Template from Jon Barron.