LIVEJoin the current RTAI Connect sessionJoin now

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

8 June 2021

Fan Zhang

Papers citing "A Deep Value-network Based Approach for Multi-Driver Order Dispatching"

7 / 7 papers shown

Title
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust Chris Finlay Jeff Calder Bilal Abbasi Adam M. Oberman 36 55 0 28 Aug 2018
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 101 800 0 28 Apr 2017
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 36 2,428 0 15 Jun 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 93 7,590 0 22 Sep 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 100 19,448 0 09 Mar 2015
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective Rick Zhang Marco Pavone 48 384 0 16 Apr 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 101 14,831 1 21 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.