The paper reports a small-scale, long-term pilot project designed to foster strategic and reasoning abilities in young primary school pupils by engaging them in a number of comput...
Rosa Maria Bottino, Lucia Ferlino, Michela Ott, Ma...
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
Agents often want to protect private information, while at the same acting upon the information. These two desires are in conflict, and this conflict can be modeled in strategic...
Game theoretic models of learning which are based on the strategic form of the game cannot explain learning in games with large extensive form. We study learning in such games by ...
In many multiagent settings, each agent's goal is to come out ahead of the other agents on some metric, such as the currency obtained by the agent. In such settings, it is no...