Jiachen Hu

According to our database1, Jiachen Hu authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
ZeroSwap: Data-driven Optimal Market Making in DeFi.
CoRR, 2023

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.
CoRR, 2023

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Understanding Domain Randomization for Sim-to-real Transfer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Near-Optimal Representation Learning for Linear Bandits and Linear RL.
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.
Proceedings of the 8th International Conference on Learning Representations, 2020

Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret.
CoRR, 2019


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