This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Abstract— We present an integrated vision and robotic system that plays, and learns to play, simple physically-instantiated board games that are variants of TIC TAC TOE and HEXAP...
Andrei Barbu, Siddharth Narayanaswamy, Jeffrey Mar...
The Interactive Dilemma is the inevitable conflict between author’s determinism and interactor’s freedom. There are some approaches that try to tackle it, using strategies and...
Event-driven systems are used in a wide range of applications such as responding to missile attacks, interdicting potential terrorists, exploiting arbitrage opportunities and resp...
K. Mani Chandy, Michel Charpentier, Agostino Cappo...
Abstract. During the fast evolution of automatic direction of Interactive Digital Storytelling many description of similar ideas have appeared in the academic literature. System ar...