Synergy of the reinforcement learning and agent-based technique for finding optimal solution in a predefined interval

Authors:
Blerim Qela;Hussein Mouftah
Affiliations:
University Of Ottawa, Ottawa, ON, Canada;University Of Ottawa, Ottawa, ON, Canada
Venue:
Proceedings of the 2010 Summer Computer Simulation Conference
Year:
2010

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Abstract

In this paper, a new algorithm for finding the optimal solution, in particular, finding maximum of a function in a predefined interval efficiently, by integrating reinforcement and agent based technique is presented. "Reinforcement Learning and Agent-based Search" application was implemented in C# to observe the algorithm at work and demonstrate its main features. The simulation results for several different functions are presented in order to demonstrate the result of synergy among 'reinforcement learning' and 'agent based' technique. In addition, its usefulness, in embedded systems with limited memory and/or processing power, such as the wireless sensor and/or actuator nodes are discussed.