activity
20212026
most citedEscaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization

3 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

1 paper · 1 filter

cs.RO2025

Action-Constrained Imitation Learning

Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio +4

Policy learning under action constraints plays a central role in ensuring safe behaviors in various robot control and resource allocation applications. In this paper, we study a ne…