My name is Jiachen Hu (胡家琛), a fourth-year PhD student at Peking University. I am fortunate to be advised by Professor Liwei Wang, and spend wonderful times working with Chi Jin and Lihong Li remotely for past years. Before becoming a PhD candidate, I obtained my B.S. from Turing Class, Peking University.

I have board insterests in sample efficient reinforcement learing and online learning, especially the application-driven problems. In the past few years, my researches focused on statistically efficient bandits (e.g., multi-armed bandits, linear bandits), online exploration in structured MDPs/POMDPs, and understanding sim-to-real transfer. Please feel free to contact me if you are interested in my researches or having a chat with me!

My curriculum vitae can be found here. My WeChat can be found here.

News

• May 2024: One paper accepted at ICML2024!
• May 2024: One paper accepted at TQC2024!
• Jun 2023: Happy to visit Princeton University for 5-6 months!
• Jan 2023: One paper accepted at ICLR2023!

Preprints

(* denotes equal contributions)

• On Limitation of Transformer for Learning HMMs
  • Jiachen Hu, Qinghua Liu, Chi Jin
  • Arxiv preprint

Publications

(* denotes equal contributions)

• Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
  • Han Zhong*, Jiachen Hu*, Yecheng Xue, Tongyang Li, Liwei Wang
  • ICML 2024
• Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits
  • Jiachen Hu, Tongyang Li, Xinzhao Wang, Yecheng Xue, Chenyi Zhang, Han Zhong (alphabetical order)
  • TQC 2024
• ZeroSwap: Data-driven Optimal Market Making in DeFi
  • Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath
  • FC 2024
• Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
  • Jiachen Hu*, Han Zhong*, Chi Jin, Liwei Wang
  • ICLR 2023
• Understanding Domain Randomization for Sim-to-real Transfer
  • Xiaoyu Chen*, Jiachen Hu*, Chi Jin, Lihong Li, Liwei Wang
  • ICLR 2022 (spotlight, 6% 176/3328)
• Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
  • Xiaoyu Chen, Jiachen Hu, Lin F. Yang, Liwei Wang
  • ICLR 2022 (spotlight, 6% 176/3328)
• Near-optimal Representation Learning for Linear Bandits and Linear RL
  • Jiachen Hu*, Xiaoyu Chen*, Chi Jin, Lihong Li, Liwei Wang
  • ICML 2021
• Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
  • Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
  • ICLR 2021
• Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
  • Yuanhao Wang*, Jiachen Hu*, Xiaoyu Chen, Liwei Wang
  • ICLR 2020

Teaching

• TA for Machine Learning, 2021 Spring, instructed by Prof. Liwei Wang.

Academic Service

• Conference reviewing: ICLR (2021, 2022, 2023, 2024); ICML (2022); Neurips (2021, 2023)

• Journal reviewing: AURO

Misc.

• I am a big fan of baseball (my favorite team is LA Dodgers, :-P), and currently playing as an infielder in the PKU baseball team.