Yuping Luo

A Ph.D. student in Computer Science Department, Princeton University


Towards Efficient and Effective Deep Model-based Reinforcement Learning
Yuping Luo
PhD thesis

Towards Learning to Play Piano with Dexterous Hands and Touch
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
IROS 2022

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo, Tengyu Ma
NeurIPS 2021, also ICML 2021 RL4RealLife Workshop
[paper] [code]

Safe Reinforcement Learning by Imagining the Near Future
Garrett Thomas, Yuping Luo, Tengyu Ma
NeurIPS 2021
[paper] [code]

Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
($\alpha$-$\beta$) Zhiyuan Li, Yuping Luo, Kaifeng Lyu
ICLR 2021

Bootstrapping the Expressivity with Model-based Planning
Kefan Dong*, Yuping Luo*, Tengyu Ma
ICML 2020
[paper] [code]

Provable Representation Learning for Imitation Learning via Bi-level Optimization
($\alpha$-$\beta$) Sanjeev Arora, Simon S. Du, Sham Kakade, Yuping Luo, Nikunj Saunshi
ICML 2020

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Yuping Luo, Huazhe Xu, Tengyu Ma
ICLR 2020
[paper] [slides]

Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
($\alpha$-$\beta$) Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang
NeurIPS 2019

Implicit Regularization in Deep Matrix Factorization
($\alpha$-$\beta$) Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo
NeurIPS 2019 (spotlight)
[paper] [code]

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo*, Huazhe Xu*, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
ICLR 2019
[paper] [code]

Learning Online Alignments with Continuous Rewards Policy Gradient
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever