most citedCurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2024★ 1 cited

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

Kanghyun Ryu, Qiayuan Liao, Zhongyu Li +3

Curriculum learning is a training mechanism in reinforcement learning (RL) that facilitates the achievement of complex policies by progressively increasing the task difficulty duri…

cs.LG2021

Learning Contraction Policies from Offline Data

Navid Rezazadeh, Maxwell Kolarich, Solmaz S. Kia +1

This paper proposes a data-driven method for learning convergent control policies from offline data using Contraction theory. Contraction theory enables constructing a policy that…