185 citations · 1.7k across the 78 of their papers we have counts for
4 papers · 1 filter
Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future
Ritchie Lee, David H. Wolpert, James Bono +3
This paper introduces a novel framework for modeling interacting humans in a multi-stage game. This "iterated semi network-form game" framework has the following desirable characte…
Distributed Control by Lagrangian Steepest Descent
David H. Wolpert, Stefan Bieniawski
Often adaptive, distributed control can be viewed as an iterated game between independent players. The coupling between the players' mixed strategies, arising as the system evolves…
Adaptivity in Agent-Based Routing for Data Networks
David H. Wolpert, Sergey Kirshner, Chris J. Merz +1
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems (MAS's) in noisy environments. O…
General Principles of Learning-Based Multi-Agent Systems
David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
We consider the problem of how to design large decentralized multi-agent systems (MAS's) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a r…