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How Do We Move: Modeling Human Movement with System Dynamics

How Do We Move: Modeling Human Movement with System Dynamics

1 March 2020
Hua Wei
Dongkuan Xu
Z. Li
Zhenhui Li
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Papers citing "How Do We Move: Modeling Human Movement with System Dynamics"

16 / 16 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
273
30,109
0
01 Mar 2022
Social and Scene-Aware Trajectory Prediction in Crowded Spaces
Social and Scene-Aware Trajectory Prediction in Crowded Spaces
Matteo Lisotto
Pasquale Coscia
Lamberto Ballan
58
69
0
19 Sep 2019
Goal-conditioned Imitation Learning
Goal-conditioned Imitation Learning
Yiming Ding
Carlos Florensa
Mariano Phielipp
Pieter Abbeel
64
225
0
13 Jun 2019
Challenges of Real-World Reinforcement Learning
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
79
547
0
29 Apr 2019
Peeking into the Future: Predicting Future Person Activities and
  Locations in Videos
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang
Lu Jiang
Juan Carlos Niebles
Alexander G. Hauptmann
Li Fei-Fei
44
378
0
11 Feb 2019
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
52
221
0
26 Jul 2018
Multi-Agent Imitation Learning for Driving Simulation
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya
Derek J. Phillips
Blake Wulfe
Jeremy Morton
Alex Kuefler
Mykel J. Kochenderfer
62
120
0
02 Mar 2018
Understanding Human Behaviors in Crowds by Imitating the Decision-Making
  Process
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process
Haosheng Zou
Hang Su
Shihong Song
Jun Zhu
58
49
0
25 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
127
753
0
30 Oct 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
496
19,019
0
20 Jul 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li
Jiaming Song
Stefano Ermon
59
44
0
26 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
253
14,008
0
19 Nov 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,767
0
19 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
220
3,216
0
02 Nov 2010
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