AAAI 2020

1,794 papers

SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning

Chao Wen, Xinghu Yao, Yuhui Wang, Xiaoyang Tan

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning

Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao

Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games

Jianhong Wang, yuan zhang, Tae-kyun Kim, Yunjie Gu

Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search

Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner

Fair Procedures for Fair Stable Marriage Outcomes

Nikolaos Tziavelis, Ioannis Giannakopoulos, Rune Quist Johansen, Katerina Doka, Nectarios Koziris

Learning to Communicate Implicitly by Actions

Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence

Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan

Clouseau: Generating Communication Protocols from Commitments

Munindar Singh, Amit Chopra

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

Heechang Ryu, Hayong Shin, Jinkyoo Park

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects

Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li

Multi-Agent Game Abstraction via Graph Attention Neural Network

Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen

A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes

Dominik Linzner, Heinz Koeppl

Generative Attention Networks for Multi-Agent Behavioral Modeling

Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu

Improving Policies via Search in Cooperative Partially Observable Games

Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

Distributed Machine Learning through Heterogeneous Edge Systems

Hanpeng Hu, Dan Wang, Chuan Wu

Distributed Stochastic Gradient Descent with Event-Triggered Communication

Jemin George, Prudhvi Gurram

Communication Learning via Backpropagation in Discrete Channels with Unknown Noise

Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset

Implicit Coordination Using FOND Planning

Thorsten Engesser, Tim Miller

On the Convergence of Model Free Learning in Mean Field Games

Romuald Elie, Julien Pérolat, Mathieu Lauriere, Matthieu Geist, Olivier Pietquin

Parameterized Complexity of Envy-Free Resource Allocation in Social Networks

Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak

Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems

Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh

An Operational Semantics for True Concurrency in BDI Agent Systems

Lavindra de Silva

A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems

Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan

Convergence of Opinion Diffusion is PSPACE-Complete

Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism

Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference

Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxing Zhang, Zhongshi He

ODSS: Efficient Hybridization for Optimal Coalition Structure Generation

Narayan Changder, Samir Aknine, Sarvapali Ramchurn, Animesh Dutta

Model Checking Temporal Epistemic Logic under Bounded Recall

Francesco Belardinelli, Alessio Lomuscio, Emily Yu

Learning the Value of Teamwork to Form Efficient Teams

Ryan Beal, Narayan Changder, Timothy Norman, Sarvapali Ramchurn

Incentive-Compatible Classification

Yakov Babichenko, Oren Dean, Moshe Tennenholtz

Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning

Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi

Parameterised Resource-Bounded ATL

Natasha Alechina, Stéphane Demri, Brian Logan

Subsidy Allocations in the Presence of Income Shocks

Rediet Abebe, Jon Kleinberg, S. Matthew Weinberg

Observe Before Play: Multi-Armed Bandit with Pre-Observations

Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong

Semi-Supervised Streaming Learning with Emerging New Labels

Yong-Nan Zhu, Yu-feng Li

GSSNN: Graph Smoothing Splines Neural Networks

Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan

A Knowledge-Aware Attentional Reasoning Network for Recommendation

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

Object-Oriented Dynamics Learning through Multi-Level Abstraction

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

Safe Sample Screening for Robust Support Vector Machine

Zhou Zhai, Bin Gu, Xiang Li, Heng Huang

Posterior-Guided Neural Architecture Search

Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix

sihang zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao

Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments

Shuo Zhou, Wenwen Li, Christopher Cox, Haiping Lu

DGE: Deep Generative Network Embedding Based on Commonality and Individuality

Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Qi Zhou, Houqiang Li, Jie Wang

A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits

Huozhi Zhou, Lingda Wang, Lav Varshney, Ee-Peng Lim

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training

Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers

Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent

Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence

Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting

Zhao Haoyu, CHEN WEI

Hypergraph Label Propagation Network

Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan

Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation

Yixin Zhang, Zilei Wang

An Ordinal Data Clustering Algorithm with Automated Distance Learning

Yiqun Zhang, Yiu-ming Cheung

Local Regularizer Improves Generalization

Yikai Zhang, Hui Qu, Dimitris Metaxas, Chao Chen

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data

Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu

Adaptive Double-Exploration Tradeoff for Outlier Detection

Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture

Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang

Optimal Margin Distribution Learning in Dynamic Environments

Teng Zhang, Peng Zhao, Hai Jin

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset

Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl Muller

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process

Rui Zhang, Christian Walder, Marian-Andrei Rizoiu

High Performance Depthwise and Pointwise Convolutions on Mobile Devices

Pengfei Zhang, Eric Lo, Baotong Lu

Systematically Exploring Associations among Multivariate Data

Lifeng Zhang

Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal

Li Zhang, Xin Li, Sen Chen, Hongyu Zang, Jie Huang

Policy Search by Target Distribution Learning for Continuous Control

Chuheng Zhang, Yuanqi Li, Jian Li

Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior

Chenguang Zhang, Yuexian Hou, Yan Zhang

CD-UAP: Class Discriminative Universal Adversarial Perturbation

Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon

Aggregated Gradient Langevin Dynamics

Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou

Topic Modeling on Document Networks with Adjacent-Encoder

Ce Zhang, Hady W. Lauw

Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting

Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

Apprenticeship Learning via Frank-Wolfe

Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour

Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond

Jianjun Yuan, Andrew Lamperski

Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel

zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat

Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm

Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng

Shared Generative Latent Representation Learning for Multi-View Clustering

Ming Yin, Weitian Huang, Junbin Gao

A Novel Model for Imbalanced Data Classification

Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao

Efficient Neural Architecture Search via Proximal Iterations

Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu

Graph Few-Shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families

Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen

ML-LOO: Detecting Adversarial Examples with Feature Attribution

Puyudi Yang, Jianbo Chen, Cho-jui Hsieh, Jane-Ling Wang, Michael Jordan

Distributed Primal-Dual Optimization for Online Multi-Task Learning

Peng Yang, Ping Li

Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks

Li Yang, Zhezhi He, Deliang Fan

Bi-Directional Generation for Unsupervised Domain Adaptation

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

Revisiting Online Quantum State Learning

Feidiao Yang, Jiaqing Jiang, Jialin Zhang, Xiaoming Sun

Variational Adversarial Kernel Learned Imitation Learning

Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong

Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations

Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, zheyang li

Active Learning with Query Generation for Cost-Effective Text Classification

Yi-Fan Yan, Sheng-jun Huang, Shaoyi Chen, Meng Liao, Jin Xu

Partial Label Learning with Batch Label Correction

Yan Yan, Yuhong Guo

Effective Data Augmentation with Multi-Domain Learning GANs

Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda

One-Shot Image Classification by Learning to Restore Prototypes

Wanqi Xue, Wei Wang

Not All Attention Is Needed: Gated Attention Network for Sequence Data

Lanqing Xue, Xiaopeng Li, Nevin L. Zhang

Light Multi-Segment Activation for Model Compression

Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-yan Liu

To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer

Yuanyuan Xu, Jun Wang, Jinmao Wei

Generative-Discriminative Complementary Learning

Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang

Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests

Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li

Partial Multi-Label Learning with Label Distribution

Ning Xu, Yun-Peng Liu, Xin Geng

Adversarial Domain Adaptation with Domain Mixup

Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang

Deep Embedded Complementary and Interactive Information for Multi-View Classification

Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu