4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
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…
cs.RO2023
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…
cs.LG2023
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…