We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
We teach a class on programmer-testing with a primary focus on test-driven development (TDD) as part of the software engineering curriculum at the Florida Institute of Technology....
: In this paper the problem of educational resource management in a cooperative learning environment is discussed. A task model was elaborated to determine both functional and leve...