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...
Abstract - Organizational learning requires individual learning. Individual learning has to interact in a dynamic social environment in order to contribute to organizational learni...
In most contexts, learning is essential for the long-term autonomy of an agent. We describes here some essential and fundamental learning mechanisms implemented in a cognitive auto...
Usef Faghihi, Daniel Dubois, Mohamed Gaha, Roger N...
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
In this paper, we discuss the novel technology tagging and the results of analyzing a learning community in a popular system that relies on tagging namely YouTube. We present our ...