Jia Lin Hau

According to our database, Jia Lin Hau authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Risk-Averse Total-Reward Reinforcement Learning.

Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik

CoRR, June, 2025

Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis.

Jia Lin Hau, Erick Delage, Esther Derman, Mohammad Ghavamzadeh, Marek Petrik

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

On Dynamic Program Decompositions of Static Risk Measures.

Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik

CoRR, 2023

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes.

Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropic Risk Optimization in Discounted MDPs.

Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk.

Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh, Reazul Hasan Russel

CoRR, 2022