Papers
Knowledge Distillation from Internal Representations
Gustavo Aguilar, Yuan Ling, Yu Zhang et al.
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games
Leonard Adolphs, Thomas Hofmann
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles
Roie Zivan, Omer Lev, Rotem Galiki
Bi-Level Actor-Critic for Multi-Agent Coordination
Haifeng Zhang, Weizhe Chen, Zeren Huang et al.
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment
Leonit Zeynalvand, Tie Luo, Jie Zhang
Optimal Common Contract with Heterogeneous Agents
Shenke Xiao, Zihe Wang, Mengjing Chen et al.
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
Chao Wen, Xinghu Yao, Yuhui Wang et al.
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
Weixun Wang, Tianpei Yang, Yong Liu et al.
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim et al.
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 et al.
Learning to Communicate Implicitly by Actions
Zheng Tian, Shihao Zou, Ian Davies et al.
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz et al.
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 et al.
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Hangyu Mao, Wulong Liu, Jianye Hao et al.
Multi-Agent Game Abstraction via Graph Attention Neural Network
Yong Liu, Weixun Wang, Yujing Hu et al.
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 et al.
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer, Hengyuan Hu, Jakob Foerster et al.
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 et al.
Implicit Coordination Using FOND Planning
Thorsten Engesser, Tim Miller