— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
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...
This paper considers the potential of Virtual Learning Environments in schools focusing on 2 distinct user groups. Firstly, the children and teachers engaged in the learning situat...
Malcolm Padmore, Lynne E. Hall, Bob Hogg, Gareth P...
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...