Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
The Restaurant Game demonstrates an end-to-end system that captures and generates social behavior for virtual agents. Over 15,000 people have played The Restaurant Game, and we ha...
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Users have a strong tendency toward dismissing security dialogs unthinkingly. Prior research has shown that users' responses to security dialogs become significantly more tho...