Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...
This paper analyzes bilateral multi-issue negotiation between selfinterested agents. Specifically, we consider the case where issues are divisible, there are time constraints in ...
S. Shaheen Fatima, Michael Wooldridge, Nicholas R....
We propose an efficient method that applies directed soft arc consistency to a Distributed Constraint Optimization Problem (DCOP) which is a fundamental framework of multi-agent ...
: Users of front office applications such as call center or customer support applications make millions and millions of decisions each day without analytical support. For example, ...