Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
Abstract. In this work, we are interested in understanding how emotional interactions with a social partner can bootstrap increasingly complex behaviors such as social referencing....
Sofiane Boucenna, Philippe Gaussier, Laurence Hafe...
In agent systems, different (autonomous) agents collaborate to execute complex tasks. Each agent provides a set of useful capabilities, and the agent system combines these capabili...
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...