In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
This paper addresses the problem of generating symbolic test cases for testing the conformance of a black-box implementation with respect to a specification, in the context of rea...
Supply Chain Management deals with the planning and coordination of bidding, production and procurement activities across the multiple organizations involved in the delivery of on...
— In this paper, we develop, analyze and implement a congestion control scheme obtained in a noncooperative game framework where each user’s cost function is composed of a pric...
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...