Human Level Control Through Deep Reinforcement Learning
Camila Farah
Nature 2015 49 atari games google patented deep reinforcement learning.
Bellemare 1 alex graves 1. Arxiv 2013 7 atari games the first step towards general artificial intelligence deepmind got acquired by google 2014 human level control through deep reinforcement learning. While reinforcement learning agents have achieved some successes in a variety of domains their applicability has previously been. Human level control through deep reinforcement learning abstract the theory of reinforcement learning provides a normative account deeply rooted in psychological and neuroscientific perspectives on animal behaviour of how agents may optimize their control of an environment.
An artificial agent is developed that learns to play nbsp a diverse range of classic atari 2600 computer games directly from sensory experience achieving a nbsp performance comparable to that of. Playing atari with deep reinforcement learning. The theory of reinforcement learning provides a normative account deeply rooted in psychological and neuroscientific perspectives on animal behaviour of how agents may optimize their control of an environment. Request pdf human level control through deep reinforcement learning the theory of reinforcement learning provides a normative account deeply rooted in psychological and neuroscientific.
The theory of reinforcement learning provides a normative account deeply rooted in psychological and neuroscientific perspectives on animal behaviour of how agents may optimize their control of an environment. Human level control through deep reinforcement learning. Human level control through deep reinforcement learning volodymyr mnih 1 koray kavukcuoglu 1 david silver 1 andrei a. Human level control through deep reinforcement learning.
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