Papers
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie, Julien Pérolat, Mathieu Laurière et al.
Parameterized Complexity of Envy-Free Resource Allocation in Social Networks
Eduard Eiben, Robert Ganian, Thekla Hamm et al.
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems
Adam Eck, Maulik Shah, Prashant Doshi et al.
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 et al.
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism
Shuo Chen, Ewa Andrejczuk, Zhiguang Cao et al.
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference
Dingding Chen, Yanchen Deng, Ziyu Chen et al.
ODSS: Efficient Hybridization for Optimal Coalition Structure Generation
Narayan Changder, Samir Aknine, Sarvapali Ramchurn et al.
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 et al.
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 et al.
A Knowledge-Aware Attentional Reasoning Network for Recommendation
Qiannan Zhu, Xiaofei Zhou, Jia Wu et al.
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren et al.
Safe Sample Screening for Robust Support Vector Machine
Zhou Zhai, Bin Gu, Xiang Li et al.
Posterior-Guided Neural Architecture Search
Yizhou Zhou, Xiaoyan Sun, Chong Luo et al.
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix
Sihang Zhou, Xinwang Liu, Jiyuan Liu et al.
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments
Shuo Zhou, Wenwen Li, Christopher Cox et al.
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Sheng Zhou, Xin Wang, Jiajun Bu et al.