Yuping Luo

According to our database1, Yuping Luo authored at least 18 papers between 2006 and 2022.

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Bibliography

2022
Towards Efficient and Effective Deep Model-based Reinforcement Learning
PhD thesis, 2022

Towards Learning to Play Piano with Dexterous Hands and Touch.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Safe Reinforcement Learning by Imagining the Near Future.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
On the Expressivity of Neural Networks for Deep Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Provable Representation Learning for Imitation Learning via Bi-level Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Bootstrapping the Expressivity with Model-based Planning.
CoRR, 2019

Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Implicit Regularization in Deep Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
Proceedings of the 7th International Conference on Learning Representations, 2019

Reliability-Based and QoS-Aware Service Redundancy Backup Method in IoT-Based Smart Grid.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2017
An online sequence-to-sequence model for noisy speech recognition.
CoRR, 2017

Learning online alignments with continuous rewards policy gradient.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2009
Computational identification of 48 potato microRNAs and their targets.
Comput. Biol. Chem., 2009

2008
Genome-wide computational analyses of microRNAs and their targets from Canis familiaris.
Comput. Biol. Chem., 2008

2006
Video Object Contour Tracking Using Improved Dual-Front Active Contour.
Proceedings of the Computational Intelligence, 2006


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