Audrey Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Markov Decision Processes

Reinforcement Learning

Matrix Decomposition

Partially Observable Domains

Top Venues

Publications

Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
Timing as an Action: Learning When to Observe and Act. AISTATS (2024)
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 (2024)
Audrey Huang, Jinglin Chen, Nan Jiang
Reinforcement Learning in Low-rank MDPs with Density Features. ICML (2023)
Audrey Huang, Jinglin Chen, Nan Jiang
Extended Abstract: Learning in Low-rank MDPs with Density Features. CISS (2023)
Audrey Huang, Jinglin Chen, Nan Jiang
Reinforcement Learning in Low-Rank MDPs with Density Features. CoRR (2023)
Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. COLT (2022)
Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. CoRR (2022)
Audrey Huang, Nan Jiang
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions. CoRR (2022)
Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Markov Decision Processes. CoRR (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. CoRR (2022)
Audrey Huang, Nan Jiang
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions. NeurIPS (2022)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. ICML (2022)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. NeurIPS (2021)
Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
Graph-Structured Visual Imitation. CoRR (2019)
Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
Graph-Structured Visual Imitation. CoRL (2019)