This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Many virtual environments and games must be populated with synthetic characters to create the desired experience. These characters must move with sufficient realism, so as not to...
Michael Gleicher, Hyun Joon Shin, Lucas Kovar, And...
Abstract— Generalized Nash equilibria (GNE) represent extensions of the Nash solution concept when agents have shared strategy sets. This generalization is particularly relevant ...
Abstract-- We present the applications of reachability methods and computational tools based on game theory to a problem in air traffic management. The use of such methods in air t...
Our work addresses protection of hardware IP at the mask level with the goal of preventing unauthorized manufacturing. The proposed protocol based on chip locking and activation i...