| Document Date: 2013-05-17 09:57:48
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City Aberdeen / Garching / / Country Germany / Jordan / / / Facility Dalle Molle Institute / Australian National University / Machine Learning library PyBrain / / IndustryTerm search distribution generation-wise / neural network / immunological algorithms / optimization algorithms / parameter-exploring algorithms / near-optimal solutions / gradient algorithms / good solution / neural networks / dynamic programming solutions / black-box optimization algorithms / typical solution / stochastic optimization algorithm / search distributions / concrete algorithm / overall solution / policy gradient algorithms / normal search distribution / vector-valued candidate solutions / search space / recent parameter-exploring algorithms / learning algorithm / search distribution / intermediate solution / found solutions / / Organization Dalle Molle Institute / Technische Universität München Institut / Australian National University / / Person Az / / Position return Rt / explicit Fisher information matrix / actor / single actor / linear controller / Fisher information matrix / needed controller / rt / critic / future rewards Rt / head / controller / reward rt / / PublishedMedium Machine Learning / / Technology policy gradient algorithms / learning algorithm / neural network / artificial intelligence / concrete algorithm / existing PG algorithms / action-exploring policy gradient algorithms / two recent parameter-exploring algorithms / optimization algorithms / RL algorithms / underlying algorithms / Machine Learning / simulation / stochastic optimization algorithm / parameter-exploring algorithms / distribution algorithms / Q-Learning algorithm / two parameter-exploring algorithms / Policy-Gradient Algorithms / black-box optimization algorithms / /
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PALADYN Journal of Behavioral Robotics Review Article · DOI: [removed]s13230[removed] · JBR · 1(1) · 2010 · 14-24 Exploring Parameter Space in Reinforcement Learning