Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
For an agent to intelligently use specifications of executable protocols, it is necessary that the agent can quickly and correctly assess the outcomes of that protocol if it is ex...
The increasing importance of the Internet has motivated the exploration of new execution models based on mobile and dynamic entities to overcome the limits of the client/server mo...
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
In this paper we describe a way to save and restore the state of a running Java program. We achieve this on the language level, without modifying the Java virtual machine, by instr...