This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
This paper addresses the issue of emergence of robust cooperation among self-interested agents interacting in N-player social dilemma games. A series of graphs are created each ex...
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Game and simulation development is a difficult process because there are many low level infrastructure concerns that need to be addressed. This is a barrier to development for ine...
Frederick C. Harris Jr., Leandro Basallo, Ryan E. ...
The computer game software with which we interact on a daily basis not only entertains us, it trains us into specific patterns. Critical Gameplay is a design practice which endeav...