38 citations · 141 across the 21 of their papers we have counts for
5 papers · 1 filter
Learning with Multiple Complementary Labels
Lei Feng, Takuo Kaneko, Bo Han +3
A complementary label (CL) simply indicates an incorrect class of an example, but learning with CLs results in multi-class classifiers that can predict the correct class. Unfortuna…
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang +5
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Rundong Wang, Xu He, Runsheng Yu +3
We consider the problem of the limited-bandwidth communication for multi-agent reinforcement learning, where agents cooperate with the assistance of a communication protocol and a…
Social Cost Guarantees in Smart Route Guidance
Paolo Serafino, Carmine Ventre, Long Tran-Thanh +3
We model and study the problem of assigning traffic in an urban road network infrastructure. In our model, each driver submits their intended destination and is assigned a route to…
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan, Qingyu Guo, Long Tran-Thanh +2
In Stackelberg security games when information about the attacker's payoffs is uncertain, algorithms have been proposed to learn the optimal defender commitment by interacting with…