68 citations · 160 across the 6 of their papers we have counts for
6 papers
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang, Heng Dong, Victor Lesser +1
The role concept provides a useful tool to design and understand complex multi-agent systems, which allows agents with a similar role to share similar behaviors. However, existing…
Building Ethics into Artificial Intelligence
Han Yu, Zhiqi Shen, Chunyan Miao +3
As artificial intelligence (AI) systems become increasingly ubiquitous, the topic of AI governance for ethical decision-making by AI has captured public imagination. Within the AI…
Context-Based Concurrent Experience Sharing in Multiagent Systems
Dan Garant, Bruno da Silva, Victor Lesser +1
One of the key challenges for multi-agent learning is scalability. In this paper, we introduce a technique for speeding up multi-agent learning by exploiting concurrent and increme…
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Sherief Abdallah, Victor Lesser
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents decisions. Due to the complexity of the problem, the majority of the previously de…
Compact Mathematical Programs For DEC-MDPs With Structured Agent Interactions
Hala Mostafa, Victor Lesser
To deal with the prohibitive complexity of calculating policies in Decentralized MDPs, researchers have proposed models that exploit structured agent interactions. Settings where m…
Asynchronous Partial Overlay: A New Algorithm for Solving Distributed Constraint Satisfaction Problems
V. R. Lesser, R. Mailler
Distributed Constraint Satisfaction (DCSP) has long been considered an important problem in multi-agent systems research. This is because many real-world problems can be represente…