Sachiyo Arai

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The point we want to make in this paper is that Pro t-sharing; a reinforcement learning approach is very appropriate to realize the adaptive behaviors in a multi-agent environment. We discuss the e ectiveness of Pro t-sharing theoretically and empirically within a Pursuit Game where there exist multiple preys and multiple hunters. In our context of this(More)
Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Interpreter, a reasoning system that acquires a controlled inference strategy adapted to the scenario at hand, using a variation on relational reinforcement learning. Employing this inference(More)
Recently, reinforcement learning has been proposed as an effective method for knowledge acquisition of the multiagent systems. However, most researches on multiagent system applying a reinforcement learning algorithm focus on the method to reduce complexity due to the existence of multiple agents[4] and goals[8]. Though these pre-defined structures(More)
In this paper, we discuss Pro t-sharing, an experience-based reinforcement learning approach (which is similar to a Monte-Carlo based reinforcement learning method) that can be used to learn robust and e ective actions within uncertain, dynamic, multi-agent systems. We introduce the cut-loop routine that discards looping behavior, and demonstrate its e(More)
In this paper, we introduce FirstVisit Pro tSharing (FVPS) as a credit assignment procedure, an important issue in classi er systems and reinforcement learning frameworks. FVPS reinforces e ective rules to make an agent acquire stochastic policies that cause it to behave very robustly within uncertain domains, without pre-de ned knowledge or subgoals. We(More)
1.1 Problem Domain Non-combatant evacuation operations, or NEOs, have been used to test a variety of coordination strategies. Though real-world NEOs have many constraint and resource conflicts, the domain used in this study models multiple transportation vehicles which transfer groups of evacuees to safe shelters. Each transport is operated asynchronously(More)
Current research issues on web services have come to center around flexible composition of existing services. Under the initiative of industry, flexible composition framework has been developed on a workflow model where flow of the processes and bindings among services should be known beforehand. In short, its framework realizes flexible composition within(More)