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نتیجه جستجو - Multi-agent simulation

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Multi-agent simulation-Adaptive dynamic programming based reinforcement learning for evaluating joint delivery systems in relation to the different locations of urban consolidation centres
شبیه سازی چند عاملی - یادگیری تقویتی مبتنی بر برنامه ریزی پویا تطبیقی برای ارزیابی سیستم های تحویل مشترک در رابطه با مکان های مختلف مراکز تلفیق شهری-2020
This research applied Multi-agent Simulation-Adaptive Dynamic Programming based Reinforcement Learning (MAS-ADP based RL) to evaluate Joint Delivery Systems (JDS) in relation to different locations of Urban Consolidation Centres in Yokohama, Japan. The MAS-ADP based RL is capable of replicating the potential actions of modeled agents in an uncertain environment accurately. The application of MAS-ADP based RL in this research shows that the location of UCC influences the behavior of freight carriers and the UCC operator in the JDS. Therefore, it is essential to conduct a feasibility study ofUCC location to support JDS using MASADP based RL to get better evaluationoutcomes.
Keywords: joint delivery systems | urban consolidation Centre | adaptive dynamic programming | multi-agent system | city logistics
مقاله انگلیسی
2 Comparison of competing market mechanisms with reinforcement learning in a carpooling scenario
مقایسه مکانیزم های بازار رقابت با یادگیری تقویتی در یک سناریو کارپول-2020
In this paper a multi-agent simulation was implemented to analyze the dynamics of different market mechanisms with a Reinforcement Learning algorithm in the context of a carpooling market. The agents in the simulation, car owners (COs) and non car owners (NCOs), had to sell or buy a car seat for multiple rounds by picking one of two possible mechanisms: Dutch Auction or Fixed Price. In the beginning of the simulation the agents have no information about the efficiency of these mechanisms and they are chosen with the same probability. In the course of the simulation a Reinforcement Learning algorithm alters the agents preferences for the two mechanisms depending on their cumulative payoffs. The key finding is that sellers have a clear preference for the Dutch auction mechanism with differing degrees dependent on the seller/buyer ratio. Buyers on the other hand have no significant preference for any mechanism. If these results are replicable, they suggest that an increased utilization of the Dutch auction could lead to an expansion of the carpooling market, increasing its impact as an alternative means of transportation.
Keywords: Multi-agent simulation | Reinforcement learning | Traffic | Carpooling | Auction | Market
مقاله انگلیسی
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