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2020 – today
- 2022
[b1]Yuping Luo:
Towards Efficient and Effective Deep Model-based Reinforcement Learning. Princeton University, USA, 2022- [c13]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [i11]Garrett Thomas, Yuping Luo, Tengyu Ma:
Safe Reinforcement Learning by Imagining the Near Future. CoRR abs/2202.07789 (2022) - 2021
- [c12]Zhiyuan Li, Yuping Luo, Kaifeng Lyu:
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning. ICLR 2021 - [c11]Garrett Thomas, Yuping Luo, Tengyu Ma:
Safe Reinforcement Learning by Imagining the Near Future. NeurIPS 2021: 13859-13869 - [c10]Yuping Luo, Tengyu Ma:
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. NeurIPS 2021: 25621-25632 - [i10]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR abs/2106.02040 (2021) - [i9]Yuping Luo, Tengyu Ma:
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. CoRR abs/2108.01846 (2021) - 2020
- [c9]Yuping Luo, Huazhe Xu, Tengyu Ma:
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. ICLR 2020 - [c8]Sanjeev Arora, Simon S. Du, Sham M. Kakade, Yuping Luo, Nikunj Saunshi:
Provable Representation Learning for Imitation Learning via Bi-level Optimization. ICML 2020: 367-376 - [c7]Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma:
On the Expressivity of Neural Networks for Deep Reinforcement Learning. ICML 2020: 2627-2637 - [i8]Sanjeev Arora, Simon S. Du, Sham M. Kakade, Yuping Luo, Nikunj Saunshi:
Provable Representation Learning for Imitation Learning via Bi-level Optimization. CoRR abs/2002.10544 (2020) - [i7]Zhiyuan Li, Yuping Luo, Kaifeng Lyu:
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning. CoRR abs/2012.09839 (2020)
2010 – 2019
- 2019
- [c6]Yunmei Luo, Yuping Luo, Xueping Ye, Jun Lu, Shuqing Li:
Reliability-Based and QoS-Aware Service Redundancy Backup Method in IoT-Based Smart Grid. ICAIS (4) 2019: 588-598 - [c5]Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) 2019 - [c4]Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo:
Implicit Regularization in Deep Matrix Factorization. NeurIPS 2019: 7411-7422 - [c3]Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang:
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle. NeurIPS 2019: 8058-8068 - [i6]Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo:
Implicit Regularization in Deep Matrix Factorization. CoRR abs/1905.13655 (2019) - [i5]Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang:
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle. CoRR abs/1906.06321 (2019) - [i4]Yuping Luo, Huazhe Xu, Tengyu Ma:
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. CoRR abs/1907.05634 (2019) - [i3]Kefan Dong, Yuping Luo, Tengyu Ma:
Bootstrapping the Expressivity with Model-based Planning. CoRR abs/1910.05927 (2019) - 2017
- [c2]Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever:
Learning online alignments with continuous rewards policy gradient. ICASSP 2017: 2801-2805 - [i2]Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly:
An online sequence-to-sequence model for noisy speech recognition. CoRR abs/1706.06428 (2017) - 2016
- [i1]Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever:
Learning Online Alignments with Continuous Rewards Policy Gradient. CoRR abs/1608.01281 (2016)
2000 – 2009
- 2009
- [j2]Wenwei Zhang, Yuping Luo, Xi Gong, Wenhong Zeng, Siguang Li:
Computational identification of 48 potato microRNAs and their targets. Comput. Biol. Chem. 33(1): 84-93 (2009) - 2008
- [j1]Donggen Zhou, Siguang Li, Jian Wen, Xi Gong, Ling Xu, Yuping Luo:
Genome-wide computational analyses of microRNAs and their targets from Canis familiaris. Comput. Biol. Chem. 32(1): 61-66 (2008) - 2006
- [c1]Qihe Li, Yuping Luo, Deyun Xiao:
Video Object Contour Tracking Using Improved Dual-Front Active Contour. ICIC (2) 2006: 855-865
Coauthor Index
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