no code implementations • 7 Nov 2023 • Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
Stateful policies play an important role in reinforcement learning, such as handling partially observable environments, enhancing robustness, or imposing an inductive bias directly into the policy structure.
2 code implementations • 4 Nov 2023 • Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
Imitation Learning (IL) holds great promise for enabling agile locomotion in embodied agents.
1 code implementation • 1 Mar 2023 • Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
Recent methods for imitation learning directly learn a $Q$-function using an implicit reward formulation rather than an explicit reward function.
no code implementations • 15 Aug 2022 • Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen
It models a video with a lattice feature graph in which the nodes represent regions of different granularity, with weighted edges that represent the spatial and temporal links.
1 code implementation • 15 Aug 2022 • Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, JiRong Wen
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee.
no code implementations • 12 Jul 2019 • Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen
Such tendency indicates that the model indeed learned how to toy with both image retrieval systems and human eyes.
no code implementations • 8 Oct 2017 • Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng
We propose a novel network representations learning model framework called RUM (network Representation learning throUgh Multi-level structural information preservation).