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Generating Multi-Agent Trajectories using Programmatic Weak Supervision
v1v2v3v4v5v6 (latest)

Generating Multi-Agent Trajectories using Programmatic Weak Supervision

20 March 2018
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
ArXiv (abs)PDFHTML

Papers citing "Generating Multi-Agent Trajectories using Programmatic Weak Supervision"

15 / 65 papers shown
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
290
295
0
10 Apr 2020
RetinaTrack: Online Single Stage Joint Detection and Tracking
RetinaTrack: Online Single Stage Joint Detection and TrackingComputer Vision and Pattern Recognition (CVPR), 2020
Zhichao Lu
V. Rathod
Ronny Votel
Jonathan Huang
VOT
259
214
0
30 Mar 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Fast and Three-rious: Speeding Up Weak Supervision with Triplet MethodsInternational Conference on Machine Learning (ICML), 2020
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
336
125
0
27 Feb 2020
Relational State-Space Model for Stochastic Multi-Object Systems
Relational State-Space Model for Stochastic Multi-Object SystemsInternational Conference on Learning Representations (ICLR), 2020
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
260
8
0
13 Jan 2020
Joint Interaction and Trajectory Prediction for Autonomous Driving using
  Graph Neural Networks
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
Donsuk Lee
Yiming Gu
Jerrick Hoang
Micol Marchetti-Bowick
GNN
143
41
0
17 Dec 2019
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by
  Imitation
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by ImitationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Siyu Zhou
Mariano Phielipp
J. Sefair
S. Walker
H. B. Amor
189
16
0
05 Dec 2019
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential DataNeural Information Processing Systems (NeurIPS), 2019
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
318
33
0
21 Oct 2019
Learning Calibratable Policies using Programmatic Style-Consistency
Learning Calibratable Policies using Programmatic Style-ConsistencyInternational Conference on Machine Learning (ICML), 2019
Eric Zhan
Albert Tseng
Yisong Yue
Adith Swaminathan
Matthew J. Hausknecht
276
19
0
02 Oct 2019
On Multi-Agent Learning in Team Sports Games
On Multi-Agent Learning in Team Sports Games
Yunqi Zhao
Igor Borovikov
J. Rupert
C. Somers
Ahmad Beirami
115
14
0
25 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos
Unsupervised Learning of Object Structure and Dynamics from VideosNeural Information Processing Systems (NeurIPS), 2019
Matthias Minderer
Chen Sun
Ruben Villegas
Forrester Cole
Kevin Patrick Murphy
Honglak Lee
352
156
0
19 Jun 2019
Human Motion Trajectory Prediction: A Survey
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko
Luigi Palmieri
Michael Herman
Kris Kitani
D. Gavrila
Kai O. Arras
451
830
0
15 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsIEEE International Conference on Computer Vision (ICCV), 2019
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
398
395
0
03 May 2019
Imitation Learning of Factored Multi-agent Reactive Models
Michael Teng
T. Le
Adam Scibior
Frank Wood
DRL
152
1
0
12 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial
  Observations
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun
Per Karlsson
Jiajun Wu
J. Tenenbaum
Kevin Patrick Murphy
218
89
0
25 Feb 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
NAOMI: Non-Autoregressive Multiresolution Sequence ImputationNeural Information Processing Systems (NeurIPS), 2019
Yukai Liu
Rose Yu
Stephan Zheng
Eric Zhan
Yisong Yue
BDLAI4TS
320
146
0
30 Jan 2019
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