Approximately optimal approximate reinforcement learning
S Kakade, J Langford - … of the Nineteenth International Conference on …, 2002 - dl.acm.org
Proceedings of the Nineteenth International Conference on Machine Learning, 2002•dl.acm.org
… Recent advancements in reinforcement learning confirm that reinforcement learning
techniques can solve large scale problems leading to high quality autonomous decision
making. It is a matter of time until we will see large scale applications of ... … Reinforcement
Learning (RL) is a machine learning (ML) technique to learn sequential decision-making in
complex problems. RL is inspired by trial-and-error based human/animal learning. It can …
techniques can solve large scale problems leading to high quality autonomous decision
making. It is a matter of time until we will see large scale applications of ... … Reinforcement
Learning (RL) is a machine learning (ML) technique to learn sequential decision-making in
complex problems. RL is inspired by trial-and-error based human/animal learning. It can …
Abstract
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential decision-making in complex problems. RL is inspired by trial-and-error based human/animal learning. It can learn an optimal policy autonomously with...
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