A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the other agent (the follower or adversary) before the adv...
Praveen Paruchuri, Jonathan P. Pearce, Janusz Mare...
We show how to view certain subclasses of (single-pushout) graph transformation systems as well-structured transition systems, which leads to decidability of the covering problem v...
Recently,“dot-com” startups relied on the well-known concept of “first-mover advantage” to justify huge marketing expenses and large financial losses. The idea was that on...
In the context of ERP implementation, leadership is consistently found to be the most important factor leading to implementation success. However, most of the studies focus on lea...