Reinforcement Learning with an Ensemble of Binary Action Deep Q-Networks
Abdul Mueed Hafiz, M. Hassaballah, Abdullah Alqahtani, Shtwai Alsubai, Mohamed Abdel Hameed
Abstract
With the advent of Reinforcement Learning (RL) and its continuous progress, state-of-the-art RL systems have come up for many challenging and real-world tasks. Given the scope of this area, various techniques are found in ... | Find, read and cite all the research you need on Tech Science Press
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Computer scienceReinforcement learningTask (project management)Artificial intelligenceProtocol (science)Convergence (economics)Machine learningBinary numberScope (computer science)Action (physics)Economic growthMedicineQuantum mechanicsEconomicsPathologyManagementAlternative medicineMathematicsProgramming languagePhysicsArithmeticReinforcement Learning in RoboticsEvolutionary Algorithms and ApplicationsNeural Networks and Reservoir Computing