Yingchen Xu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 11

Top Topics

Predictive Control

Temporal Difference

Gradient Estimation

Usability Studies

Top Venues

Publications

Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA (2024)
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
H-GAP: Humanoid Control with a Generalist Planner. ICLR (2024)
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR (2023)
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
H-GAP: Humanoid Control with a Generalist Planner. CoRR (2023)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS (2022)
Ari Beller, Yingchen Xu, Scott Linderman, Tobias Gerstenberg
Looking into the past: Eye-tracking mental simulation in physical inference. CogSci (2022)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. CoRR (2022)
Ari Beller, Yingchen Xu, Tobias Gerstenberg
Eye-Tracking Multi-Modal Inference. CogSci (2021)
Beidi Chen, Yingchen Xu, Anshumali Shrivastava
Fast and Accurate Stochastic Gradient Estimation. NeurIPS (2019)
Beidi Chen, Yingchen Xu, Anshumali Shrivastava
Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation. CoRR (2019)
Beidi Chen, Yingchen Xu, Anshumali Shrivastava
Lsh-Sampling breaks the Computational chicken-and-egg Loop in adaptive stochastic Gradient estimation. ICLR (Workshop) (2018)
Yingchen Xu, Junzhong Gu, Jing Yang, Zhengyong Zhang
An Ontology-Based Approach for Mobile Personalized Recommendation. SSME (2009)
Zhengyong Zhang, Jing Yang, Junzhong Gu, Yingchen Xu
Event Based Semantic Location Model in Cooperative Mobile Computing. HIS (2) (2009)