This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
When preparing students for an industrial or academic career in software engineering, educational institutions need to address the globally distributed character of the software en...
Kevin Dullemond, Ben van Gameren, Rini van Solinge...
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 introduces a novel multiagent learning algorithm, Convergence with Model Learning and Safety (or CMLeS in short), which achieves convergence, targeted optimality agains...
A common teaching and learning methodology involves one that delivers knowledge to learners within a classroom environment. With the enhancement of information technology, Web-bas...