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• Learning the Value of Teamwork to Form Efficient Teams

  Ryan Beal, Narayan Changder, Timothy Norman, Sarvapali Ramchurn

  7063-7070

  2020-04-03

• Model Checking Temporal Epistemic Logic under Bounded Recall

  Francesco Belardinelli, Alessio Lomuscio, Emily Yu

  7071-7078

  2020-04-03

• ODSS: Efficient Hybridization for Optimal Coalition Structure Generation

  Narayan Changder, Samir Aknine, Sarvapali Ramchurn, Animesh Dutta

  7079-7086

  2020-04-03

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

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

  7087-7094

  2020-04-03

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

  Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

  7095-7102

  2020-04-03

• Convergence of Opinion Diffusion is PSPACE-Complete

  Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini

  7103-7110

  2020-04-03

• A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems

  Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan

  7111-7118

  2020-04-03

• An Operational Semantics for True Concurrency in BDI Agent Systems

  Lavindra de Silva

  7119-7126

  2020-04-03

• Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems

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

  7127-7134

  2020-04-03

• Parameterized Complexity of Envy-Free Resource Allocation in Social Networks

  Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak

  7135-7142

  2020-04-03

• On the Convergence of Model Free Learning in Mean Field Games

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

  7143-7150

  2020-04-03

• Implicit Coordination Using FOND Planning

  Thorsten Engesser, Tim Miller

  7151-7159

  2020-04-03

• Communication Learning via Backpropagation in Discrete Channels with Unknown Noise

  Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset

  7160-7168

  2020-04-03

• Distributed Stochastic Gradient Descent with Event-Triggered Communication

  Jemin George, Prudhvi Gurram

  7169-7178

  2020-04-03

• Distributed Machine Learning through Heterogeneous Edge Systems

  Hanpeng Hu, Dan Wang, Chuan Wu

  7179-7186

  2020-04-03

• Improving Policies via Search in Cooperative Partially Observable Games

  Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

  7187-7194

  2020-04-03

• Generative Attention Networks for Multi-Agent Behavioral Modeling

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

  7195-7202

  2020-04-03

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

  Dominik Linzner, Heinz Koeppl

  7203-7210

  2020-04-03

• Multi-Agent Game Abstraction via Graph Attention Neural Network

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

  7211-7218

  2020-04-03

• Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

  Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

  7219-7226

  2020-04-03

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

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

  7227-7235

  2020-04-03

• Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

  Heechang Ryu, Hayong Shin, Jinkyoo Park

  7236-7243

  2020-04-03

• Clouseau: Generating Communication Protocols from Commitments

  Munindar Singh, Amit Chopra

  7244-7252

  2020-04-03

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

  Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu

  7253-7260

  2020-04-03

• Learning to Communicate Implicitly by Actions

  Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou Ammar, Jun Wang

  7261-7268

  2020-04-03