This paper studies self-organized flocking in a swarm of mobile robots. We present Kobot, a mobile robot platform developed specifically for swarm robotic studies, briefly describ...
When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
Fully autonomous vehicles promise enormous gains in safety, efficiency, and economy. Before such gains can be realized, safety and reliability concerns must be addressed. We have ...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...