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02/15/2022
Safe Reinforcement Learning by Imagining the Near Future
Safe reinforcement learning is a promising path toward applying reinforc...
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08/04/2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Training-time safety violations have been a major concern when we deploy...
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06/03/2021
Towards Learning to Play Piano with Dexterous Hands and Touch
The virtuoso plays the piano with passion, poetry and extraordinary tech...
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12/17/2020
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Matrix factorization is a simple and natural test-bed to investigate the...
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02/24/2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization
A common strategy in modern learning systems is to learn a representatio...
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10/14/2019
Bootstrapping the Expressivity with Model-based Planning
We compare the model-free reinforcement learning with the model-based ap...
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07/12/2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Imitation learning, followed by reinforcement learning algorithms, is a ...
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06/14/2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
Q-learning with function approximation is one of the most popular method...
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05/31/2019
Implicit Regularization in Deep Matrix Factorization
Efforts to understand the generalization mystery in deep learning have l...
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06/16/2017
An online sequence-to-sequence model for noisy speech recognition
Generative models have long been the dominant approach for speech recogn...
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08/03/2016
