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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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experience

➣ Teaching Assistant

Mathematics, Statistics and Computer Science Department, Macalester College, Spring 2020 - PRESENT 2020

  • Teaching Assistant(Preceptor) in COMP 394 Reinforcement Learning, MATH 378 Complex Analysis, COMP 128 Data Structure, STAT/COMP 112 Intro to the Data Science at Macalester College

➣ Computer Vision Research Intern

Research and Development Department, Thorough Images, Spring 2021

  • Full time research internship for learning, understanding, developing, and optimizing computer vision models to complete intelligent solutions for pathological images at Thorough Images.

➣ Computer Vision Research Intern

Research and Development Department, Thorough Images, Spring 2021

  • Full time research internship for learning, understanding, developing, and optimizing computer vision models to complete intelligent solutions for pathological images at Thorough Images.

honors

notes

➣ Baselines Experiments and Tutorials in AllenAct

15 minute read

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Contribute codes for baseline experiments and pretrained models of various of MuJoCo environments to the project of AllenAct, and provide a Tutorial.


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➣ Notes for Generative Adversarial Imitation Learning (GAIL)

12 minute read

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Notes For Paper Generative Adversarial Imitation Learning (GAIL)


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➣ Configure Dual-Boot Linux (Manjaro) to the Laptop (Blade 15 2022) for Everything

12 minute read

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It is crazy to configure Linux to a latest released laptop, especially for a newbie to the hardware and system (like me), so I would like to share my major configurations journal here for others (and just in case I need to rebuild everything if it is crashed in the future…)


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projects

publications

rl

➣ Chapter 2 Multi-armed Bandits

16 minute read

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“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed


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➣ Chapter 3 Finite Markov Decision Processes

34 minute read

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“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed


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➣ Chapter 4 Dynamics Programming

25 minute read

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“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed


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➣ Chapter 5 Monte Carlo Methods

36 minute read

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“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed


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➣ Chapter 6 Temporal-Difference Learning

61 minute read

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“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed


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