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management for a hybri d tracked v ehicle with speedy Q-learning,” Energy , vol. 160, pp. 544-55 5, 2018. [20] R. Sutton, an d A. Barto, “Reinforcement le arning: An introduction

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Jun 11, 2015 · Colorado speedy q application Springs, Colo. (PRWEB) June 11, 2015 PriceAdvantage, a fuel price management software company and division of Skyline Products, announced today that By-Lo Oil Company has leveraged the PriceAdvantage mobile solution to dramatically reduce the amount of time required to establish and post new fuel prices across their 18 SpeedyQ Market locations throughout Michigan.

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Speedy Q-learning The con vergence of Q-learning can become slow when the discount f actor is close to one. Hence, we also applied asynchronous speedy Q-learning (SQL) [ 12 ] which

Q-learning has been successfully applied to deep learning by a Google DeepMind team in playing some Atari 2600 games as published in Nature, 2015, dubbed deep reinforcement learning or deep Q-networks, soon followed by the spectacular AlphaGo and AlphaZero breakthroughs. Temporal Difference Learning. see main page Temporal Difference Learning

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application has given them the freedom to make rapid, reliable fuel price changes and use the time savings to focus on other critical business speedy q application functions . We are proud to partner in their continued success!” About PriceAdvantage. PriceAdvantage creates Software to Fuel Your Pricing StrategyTM. Our easy-to-use, highly configurable solution

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(PDF) Deep Q-Learning Based Energy Management Strategy for ...

To accelerate the convergence rate in Markov Chain-based control policy computation, a reinforcement learning-enabled energy management strategy is derived by using speedy Q-learning algorithm.

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