Multiagent control provides strategies for aggregating microscopic robots (“nanorobots”) in fluid environments relevant for medical applications. Unlike larger robots, viscou...
The environment has been recognized as an explicit and exploitable element to design Multi-Agent Systems (MAS). It can be assigned a number of responsibilities that would be more d...
Eric Platon, Marco Mamei, Nicolas Sabouret, Shinic...
Protocols enable unambiguous, smooth interactions among agents. Commitments among agents are a powerful means of developing protocols. Commitments enable flexible execution of pro...
We describe our preliminary work in modeling conversation specifications and policies as positive/negative permissions and obligations. Our model is generic as it is independent o...
We propose an operational model that combines message meaning and conversational structure in one comprehensive approach. Our long-term research goal is to lay down principles unit...
Roberto A. Flores, Philippe Pasquier, Brahim Chaib...
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...