84 citations · 558 across the 52 of their papers we have counts for
9 papers · 1 filter
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
Feiran Zhao, Keyou You
Risk-aware control, though with promise to tackle unexpected events, requires a known exact dynamical model. In this work, we propose a model-free framework to learn a risk-aware c…
Minimax Q-learning Control for Linear Systems Using the Wasserstein Metric
Feiran Zhao, Keyou You
Stochastic optimal control usually requires an explicit dynamical model with probability distributions, which are difficult to obtain in practice. In this work, we consider the lin…
The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback
Fei Dong, Keyou You
The isoline tracking of this work is concerned with the control design for a sensing vehicle to track a desired isoline of an unknown scalar field. To this end, we propose a simple…
Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields
Fei Dong, Keyou You
The isoline tracking of this work is concerned with the control design for a sensing robot to track a given isoline of an unknown 2-D scalar filed. To this end, we propose a coordi…
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning
Kaichen Zhou, Shiji Song, Anke Xue +2
During recent decades, the automatic train operation (ATO) system has been gradually adopted in many subway systems for its low-cost and intelligence. This paper proposes two smart…
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
Xingyu Sha, Jiaqi Zhang, Keyou You +2
This paper proposes a \emph{fully asynchronous} scheme for the policy evaluation problem of distributed reinforcement learning (DisRL) over directed peer-to-peer networks. Without…