Results 31 to 40 of about 257,916 (275)

Agile Autonomous Driving using End-to-End Deep Imitation Learning

, 2019
We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost sensors. By imitating a model predictive controller equipped with advanced sensors, we train a deep neural network control policy to map raw ...
Boots, Byron, Cheng, Ching-An, Lee, Keuntaek, Pan, Yunpeng, Saigol, Kamil, Theodorou, Evangelos, Yan, Xinyan   +6 more
core   +1 more source

Imitation learning for task allocation [PDF]

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best. In some domains this utility evaluation is not straightforward, for example due to complex and unmodeled underlying dynamics or an adversary in the environment. Explicitly modeling these extrinsic influences well enough so that they can
Duvallet, Felix, Stentz, Anthony
openaire   +1 more source

Compressed imitation learning

, 2020
In analogy to compressed sensing, which allows sample-efficient signal reconstruction given prior knowledge of its sparsity in frequency domain, we propose to utilize policy simplicity (Occam's Razor) as a prior to enable sample-efficient imitation learning.
Zhao, Nathan, Lou, Beicheng
openaire   +2 more sources

Cross-Embodiment Kinematic Behavioral Cloning (X-EKBC): An Energy-Based Framework for Human–Robot Imitation Learning with the Embodiment Gap

Machines
In imitation learning with the embodiment gap, directly transferring human motions to robots is challenging due to differences in body structures. Therefore, it is necessary to reconstruct human motions in accordance with each robot’s embodiment.
Yoshiki Tsunekawa, Masaki Tanaka, Kosuke Sekiyama   +2 more
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Adversarial Imitation Learning from Incomplete Demonstrations

, 2019
Imitation learning targets deriving a mapping from states to actions, a.k.a. policy, from expert demonstrations. Existing methods for imitation learning typically require any actions in the demonstrations to be fully available, which is hard to ensure in
Ma, Xiaojuan, Sun, Mingfei
core   +1 more source

Fully General Online Imitation Learning

, 2021
13 pages with 8-page ...
Cohen, Michael K., Hutter, Marcus, Nanda, Neel   +2 more
openaire   +3 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Applied Sciences
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets.
Iman Sharifi, Mustafa Yildirim, Saber Fallah   +2 more
doaj   +1 more source

Permettre la compréhension de l’action dans un jeu d’imitation. Le cas de l’action conjointe entre un artiste chorégraphique et des élèves-danseurs à l’école élémentaire

Recherches en Éducation, 2019
The central role played by imitation within the various human societies leads us to consider it from an anthropological point of view. We describe it as a complex process allowing the intergenerational transmission of cultural behaviours and elements ...
Virginie Messina
doaj   +1 more source