Daniel R. Jiang
Cited by
Cited by
BoTorch: A framework for efficient Monte-Carlo Bayesian optimization
M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy
Advances in Neural Information Processing Systems 33, 2020
Optimal hour ahead bidding in the real time electricity market with battery storage using approximate dynamic programming
DR Jiang, WB Powell
INFORMS Journal on Computing 27 (3), 525-543, 2015
An approximate dynamic programming algorithm for monotone value functions
DR Jiang, WB Powell
Operations Research 63 (6), 1489-1511, 2015
A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work?
DR Jiang, TV Pham, WB Powell, DF Salas, WR Scott
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
Risk-averse approximate dynamic programming with quantile-based risk measures
DR Jiang, WB Powell
Mathematics of Operations Research 43 (2), 554-579, 2018
Dynamic inventory repositioning in on-demand rental networks
S Benjaafar, D Jiang, X Li, X Li
Management Science, 2022
Feedback-based tree search for reinforcement learning
DR Jiang, E Ekwedike, H Liu
International Conference on Machine Learning (ICML), 2284-2293, 2018
Optimistic Monte Carlo tree search with sampled information relaxation dual bounds
DR Jiang, L Al-Kanj, WB Powell
Operations Research 68 (6), 1678-1697, 2020
Practicality of nested risk measures for dynamic electric vehicle charging
DR Jiang, WB Powell, 2017
Efficient nonmyopic Bayesian optimization via one-shot multi-step trees
S Jiang, DR Jiang, M Balandat, B Karrer, JR Gardner, R Garnett
Advances in Neural Information Processing Systems 33, 2020
Shape constraints in economics and operations research
AL Johnson, DR Jiang
Statistical Science 33 (4), 527-546, 2018
Lookahead-bounded Q-learning
IE Shar, DR Jiang
International Conference on Machine Learning (ICML), 2020
Method for bidding battery storage into hour-ahead energy markets
WB Powell, DR Jiang
US Patent 9,965,802, 2018
Multi-step budgeted Bayesian optimization with unknown evaluation costs
R Astudillo, D Jiang, M Balandat, E Bakshy, P Frazier
Advances in Neural Information Processing Systems 34, 2021
Interpretable personalized experimentation
H Wu, S Tan, W Li, M Garrard, A Obeng, D Dimmery, S Singh, H Wang, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Structured actor-critic for managing public health points-of-dispensing
Y Wang, DR Jiang
arXiv preprint arXiv:1806.02490, 2019
Multi-armed bandits and reinforcement learning: Advancing decision making in e-commerce and beyond
D Jiang, H Luo, C Wang, Y Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Exploration via sample-efficient subgoal design
Y Wang, M Poloczek, DR Jiang
arXiv preprint arXiv:1910.09143, 2019
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