55 citations · 197 across the 32 of their papers we have counts for
5 papers · 1 filter
Learning from Human Directional Corrections
Wanxin Jin, Todd D. Murphey, Zehui Lu +1
This paper proposes a novel approach that enables a robot to learn an objective function incrementally from human directional corrections. Existing methods learn from human magnitu…
Learning Objective Functions Incrementally by Inverse Optimal Control
Zihao Liang, Wanxin Jin, Shaoshuai Mou
This paper proposes an inverse optimal control method which enables a robot to incrementally learn a control objective function from a collection of trajectory segments. By saying…
Learning from Sparse Demonstrations
Wanxin Jin, Todd D. Murphey, Dana Kulić +2
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demons…
Neural Certificates for Safe Control Policies
Wanxin Jin, Zhaoran Wang, Zhuoran Yang +1
This paper develops an approach to learn a policy of a dynamical system that is guaranteed to be both provably safe and goal-reaching. Here, the safety means that a policy must not…
Distributed traffic control for a large-scale urban network
Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou +1
Motivated by the fact that intelligent traffic control systems have become inevitable demand to cope with the risk of traffic congestion in urban areas, this paper develops a distr…