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Audrey Huang
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2020 – today
- 2024
- [j1]Audrey Huang, Mohammad Ghavamzadeh, Nan Jiang, Marek Petrik:
Non-adaptive Online Finetuning for Offline Reinforcement Learning. RLJ 1: 182-197 (2024) - [c9]Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton:
Timing as an Action: Learning When to Observe and Act. AISTATS 2024: 3979-3987 - [i9]Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster:
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. CoRR abs/2407.13399 (2024) - 2023
- [c8]Audrey Huang, Jinglin Chen, Nan Jiang:
Extended Abstract: Learning in Low-rank MDPs with Density Features. CISS 2023: 1-3 - [c7]Audrey Huang, Jinglin Chen, Nan Jiang:
Reinforcement Learning in Low-rank MDPs with Density Features. ICML 2023: 13710-13752 - [i8]Audrey Huang, Jinglin Chen, Nan Jiang:
Reinforcement Learning in Low-Rank MDPs with Density Features. CoRR abs/2302.02252 (2023) - 2022
- [c6]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS 2022: 5022-5050 - [c5]Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee:
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. COLT 2022: 2730-2775 - [c4]Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli:
Supervised Learning with General Risk Functionals. ICML 2022: 12570-12592 - [c3]Audrey Huang, Nan Jiang:
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions. NeurIPS 2022 - [i7]Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee:
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. CoRR abs/2202.04634 (2022) - [i6]Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli:
Supervised Learning with General Risk Functionals. CoRR abs/2206.13648 (2022) - [i5]Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Markov Decision Processes. CoRR abs/2209.10444 (2022) - [i4]Audrey Huang, Nan Jiang:
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions. CoRR abs/2210.15543 (2022) - 2021
- [c2]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Contextual Bandits. NeurIPS 2021: 23714-23726 - [i3]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk. CoRR abs/2103.02827 (2021) - [i2]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Contextual Bandits. CoRR abs/2104.08977 (2021)
2010 – 2019
- 2019
- [c1]Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
Graph-Structured Visual Imitation. CoRL 2019: 979-989 - [i1]Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
Graph-Structured Visual Imitation. CoRR abs/1907.05518 (2019)
Coauthor Index
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