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VAIN: Attentional Multi-agent Predictive Modeling

VAIN: Attentional Multi-agent Predictive Modeling

19 June 2017
Yedid Hoshen
    GNN
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Papers citing "VAIN: Attentional Multi-agent Predictive Modeling"

50 / 119 papers shown
Title
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
80
147
0
06 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent
  Reinforcement Learning using Agent Class Information
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
AI4CE
14
0
0
14 Dec 2020
IDE-Net: Interactive Driving Event and Pattern Extraction from Human
  Data
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
Xiaosong Jia
Liting Sun
M. Tomizuka
Wei Zhan
8
24
0
04 Nov 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Nitin Kamra
Hao Zhu
Dweep Trivedi
Ming Zhang
Yan Liu
AI4CE
19
31
0
29 Oct 2020
Hierarchical Relational Inference
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
19
15
0
07 Oct 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
149
155
0
23 Jul 2020
Decentralized policy learning with partial observation and mechanical
  constraints for multiperson modeling
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling
Keisuke Fujii
Naoya Takeishi
Yoshinobu Kawahara
K. Takeda
26
8
0
07 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially
  Intelligent Competitive Teams
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
A. Deka
Katia P. Sycara
AAML
16
32
0
06 Jul 2020
Learning Physical Constraints with Neural Projections
Learning Physical Constraints with Neural Projections
Shuqi Yang
Xingzhe He
Bo Zhu
3DV
AI4CE
20
25
0
23 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
45
664
0
18 Jun 2020
Disentangled Non-Local Neural Networks
Disentangled Non-Local Neural Networks
Minghao Yin
Zhuliang Yao
Yue Cao
Xiu Li
Zheng-Wei Zhang
Stephen Lin
Han Hu
9
327
0
11 Jun 2020
When2com: Multi-Agent Perception via Communication Graph Grouping
When2com: Multi-Agent Perception via Communication Graph Grouping
Yen-Cheng Liu
Junjiao Tian
Nathan Glaser
Z. Kira
AI4CE
6
205
0
30 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
17
791
0
08 May 2020
Should I tear down this wall? Optimizing social metrics by evaluating
  novel actions
Should I tear down this wall? Optimizing social metrics by evaluating novel actions
János Kramár
Neil C. Rabinowitz
Tom Eccles
Andrea Tacchetti
11
5
0
16 Apr 2020
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian
  Zones
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
Ha Q. Ngo
C. Henke
F. Hees
14
1
0
09 Apr 2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational
  Reasoning
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li
Fan Yang
M. Tomizuka
Chiho Choi
AI4CE
9
12
0
31 Mar 2020
Who2com: Collaborative Perception via Learnable Handshake Communication
Who2com: Collaborative Perception via Learnable Handshake Communication
Yen-Cheng Liu
Junjiao Tian
Chih-Yao Ma
Nathan Glaser
Chia-Wen Kuo
Z. Kira
15
161
0
21 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
53
210
0
18 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement
  Learning
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
Haozhe Jasper Wang
Jiale Zhou
Xuming He
OffRL
LRM
6
14
0
03 Mar 2020
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven Communication
E. Pesce
Giovanni Montana
19
14
0
12 Feb 2020
MagNet: Discovering Multi-agent Interaction Dynamics using Neural
  Network
MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Priyabrata Saha
Arslan Ali
B. Mudassar
Yun Long
Saibal Mukhopadhyay
AI4TS
AI4CE
12
2
0
24 Jan 2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of
  Sequential Video Data
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Kyoung-Woon On
Eun-Sol Kim
Y. Heo
Byoung-Tak Zhang
BDL
16
6
0
17 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
20
8
0
13 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
14
1
0
11 Jan 2020
Discovering Nonlinear Relations with Minimum Predictive Information
  Regularization
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Tailin Wu
Thomas Breuel
M. Skuhersky
Jan Kautz
AI4TS
20
27
0
07 Jan 2020
Deep learning reveals hidden interactions in complex systems
Deep learning reveals hidden interactions in complex systems
Seungwoong Ha
Hawoong Jeong
GNN
22
4
0
03 Jan 2020
Improved Structural Discovery and Representation Learning of Multi-Agent
  Data
Improved Structural Discovery and Representation Learning of Multi-Agent Data
Jennifer Hobbs
Matthew Holbrook
Nathan Frank
Long Sha
P. Lucey
AI4TS
20
5
0
30 Dec 2019
Explainable Deep Relational Networks for Predicting Compound-Protein
  Affinities and Contacts
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
27
46
0
29 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé
Yichuan Tang
Jian Andrew Zhang
Russ Webb
17
0
0
18 Dec 2019
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
8
38
0
17 Dec 2019
Deep Iterative and Adaptive Learning for Graph Neural Networks
Deep Iterative and Adaptive Learning for Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
13
46
0
17 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
6
10
0
03 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
17
278
0
27 Nov 2019
Agent Probing Interaction Policies
Agent Probing Interaction Policies
Siddharth Ghiya
Oluwafemi Azeez
Brendan Miller
11
0
0
21 Nov 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement
  Learning
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Raymond A. Yeh
A. Schwing
17
81
0
31 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
Qiannan Zhang
Han Yufei
Xiangliang Zhang
GNN
8
8
0
22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node
  Classification
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi
Yufei Han
Qiannan Zhang
Xiangliang Zhang
12
16
0
22 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication
  Minimization
Learning Nearly Decomposable Value Functions Via Communication Minimization
Tonghan Wang
Jianhao Wang
Chongyi Zheng
Chongjie Zhang
15
133
0
11 Oct 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge
  Graph Reasoning
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Xiaoran Xu
Wei Feng
Yunsheng Jiang
Xiaohui Xie
Zhiqing Sun
Zhihong Deng
LRM
9
53
0
25 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
38
408
0
11 Aug 2019
Permutation-invariant Feature Restructuring for Correlation-aware Image
  Set-based Recognition
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
Xiaofeng Liu
Zhenhua Guo
Site Li
Lingsheng Kong
P. Jia
J. You
B. V. Kumar
CVBM
9
31
0
03 Aug 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal
Sumit Kumar
Katia P. Sycara
AI4CE
19
117
0
04 Jun 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNN
AI4CE
16
2
0
30 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems
Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb
Ben Day
Helena Andrés-Terré
Pietro Lió
AI4CE
GNN
22
29
0
21 May 2019
Learning Actor Relation Graphs for Group Activity Recognition
Learning Actor Relation Graphs for Group Activity Recognition
Jianchao Wu
Limin Wang
Li Wang
Jie Guo
Gangshan Wu
10
239
0
23 Apr 2019
Concurrent Meta Reinforcement Learning
Concurrent Meta Reinforcement Learning
Emilio Parisotto
Soham Ghosh
S. Yalamanchi
Varsha Chinnaobireddy
Yuhuai Wu
Ruslan Salakhutdinov
LRM
19
17
0
07 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
23
12
0
26 Feb 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
22
89
0
25 Feb 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
22
515
0
22 Jan 2019
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