Audrey Huang

According to our database, Audrey Huang authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Reinforcement Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the International Conference on Machine Learning, 2023

Extended Abstract: Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions.

Audrey Huang, Nan Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Supervised Learning with General Risk Functionals.

Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli

Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning with Realizability and Single-policy Concentrability.

Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Off-Policy Risk Assessment for Markov Decision Processes.

Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk.

Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli

CoRR, 2021

Off-Policy Risk Assessment in Contextual Bandits.

Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Graph-Structured Visual Imitation.

Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki

Proceedings of the 3rd Annual Conference on Robot Learning, 2019