Abstract. The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot's action se...
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Electronic design automation is a field replete with challenging ? and often intractable ? problems to be solved over very large instances. As a result, the field of design automa...
High-interaction honeypots are relevant to provide rich and useful information obtained from attackers. Honeypots come in different flavors with respect to their interaction pote...
This paper challenges current practices in the use of digital media to communicate Australian Aboriginal knowledge practices in a learning context. It proposes that any digital re...