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I am an undergraduate student at the University of Michigan studying computer science and mathematics. Most of my work here is related to my research in deep reinforcement learning or related to competetive programming, with some occasional personal projects.

Contact: runxuanj [at] umich [dot] edu

Runxuan Jiang's Projects

clforrl icon clforrl

Curriculum Learning for Reinforcement Learning

conformer-rl icon conformer-rl

A deep reinforcement learning library for conformer generation.

deeprl icon deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

icart-flutter-app icon icart-flutter-app

iCart - a tablet app to greatly simplify emergency room procedures by displaying only relevant information in an intuitive UI and making recommendations based on patient conditions and demographics.

math395-notes icon math395-notes

Notes (in tex) for MATH 395 (analysis on manifolds) at the University of Michigan

mof_adsorption_setup icon mof_adsorption_setup

Bash script for setting up MOF adsorption using GOMC, Pymatgen, OpenBabel, VMD, and Packmol

rl_intro_solutions icon rl_intro_solutions

My solutions to the problems in the book "Reinforcement Learning: An Introduction" 2nd Edition by Sutton and barto

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