Li-Cheng Lan

UCLA

About me

I am a PhD student at UCLA Computer Science department, advised by Prof. Cho-Jui Hsieh. I obtained my Bachelor and Master degree in Computer Science department, National Chiao Tung University (NCTU), Taiwan, supervised by Prof. I-Chen Wu. My research interest is machine learning and planning. I am currently focusing on studying the robustness and the generalization of reinforcement learning. I am also working on using reinforcement learning and planning for AutoML.

I am looking for a research internship in 2023.

Publications (* equal contribution)

Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
ICLR 2023
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Code
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
NeurIPS 2022
Learning to schedule learning rate with graph neural networks
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
ICLR 2022
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I Wu, Cho-Jui Hsieh
AAAI 2021
Multiple policy value Monte Carlo tree search
Li-Cheng Lan, Wei Li, Ting-Han Wei, I Wu
International Joint Conference on Artificial Intelligence (IJCAI-19)
Multilabeled value networks for computer Go
Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-han Wei, Hung-Chun Wu, Tung-Yi Lai, Li-Cheng Lan
IEEE Transactions on Games

Experiences

  • Applied Scientist Intern, Amazon.com Services LLC (Palo Alto)
  • Member, International Collegiate Programming Contest (ICPC), 44th in 2016 World Finals
  • Member, CGI Go Intelligence (CGI), 2ed place in the 1st World AI Go Open (22,000 USD)

Teaching

TA at UCLA:

  • CS 180 Introduction to Algorithms and Complexity
  • CS 161 Fundamentals of Artificial Intelligence
  • CS 111 Operating System Principles