We define a learning tutor as being an intelligent agent that learns from human tutors and then tutors human learners. The notion of a learning tutor provides a conceptual framewor...
Pervasive robotics will require, in a near future, small, light and cheap robots that exhibit complex behaviors. These demands led to the development of the M2-M4 Macaco project -...
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
The effectiveness of simulation-based training for individual tasks – such as piloting skills – is well established, but its use for team training raises challenging technical...
David R. Traum, Jeff Rickel, Jonathan Gratch, Stac...
In many auctions, agents bid more aggressively than selfinterest would prescribe. This can be explained by spite, where the agent's utility not only increases in the agent...