4 citations · 5 across the 5 of their papers we have counts for
5 papers
A novel framework extending cause-effect inference methods to multivariate causal discovery
Hongyi Chen, Maurits Kaptein
We focus on the extension of bivariate causal learning methods into multivariate problem settings in a systematic manner via a novel framework. It is purposive to augment the scale…
Planning with Sequence Models through Iterative Energy Minimization
Hongyi Chen, Yilun Du, Yiye Chen +2
Recent works have shown that sequence modeling can be effectively used to train reinforcement learning (RL) policies. However, the success of applying existing sequence models to p…
Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments
Hongyi Chen, Shiyu Feng, Ye Zhao +2
This paper describes a hierarchical solution consisting of a multi-phase planner and a low-level safe controller to jointly solve the safe navigation problem in crowded, dynamic, a…
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments
Hongyi Chen, Changliu Liu
This study proposes a safe and sample-efficient reinforcement learning (RL) framework to address two major challenges in developing applicable RL algorithms: satisfying safety cons…
Zero-Shot Object Searching Using Large-scale Object Relationship Prior
Hongyi Chen, Ruinian Xu, Shuo Cheng +2
Home-assistant robots have been a long-standing research topic, and one of the biggest challenges is searching for required objects in housing environments. Previous object-goal na…