Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main dif...
Real-world behavior-based robot control problems require the coordination of a large number of competing behaviors. However, coordination becomes increasingly difficult as the num...
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
There is significant interest in modeling teamwork in agents. In recent years, it has become widely accepted that it is possible to separate teamwork from taskwork, providing sup...
Gal A. Kaminka, Ari Yakir, Dan Erusalimchik, Nirom...
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...