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https://www.nature.com/articles/nature14236?error=cookies_not_supported&code=23970a84-046d-4afc-9e4d-bddaae4f99eb
Human-level control through deep reinforcement learning | Nature
Feb 25, 2015 - An artificial agent is developed that learns to play a diverse range of classic Atari 2600 computer games directly from sensory experience, achieving a...
deep reinforcement learninghuman levelcontrolnature
https://www.nature.com/articles/s41586-021-04301-9?error=cookies_not_supported&code=afdc454f-a8e4-4f8a-ab94-072c30e314a5
Magnetic control of tokamak plasmas through deep reinforcement learning | Nature
Feb 16, 2022 - Nuclear fusion using magnetic confinement, in particular in the tokamak configuration, is a promising path towards sustainable energy. A core challenge is to...
deep reinforcement learningmagneticcontroltokamakplasmas
https://www.nature.com/articles/s41586-022-05172-4?error=cookies_not_supported&code=96995cc2-beb4-4daf-a933-85656350e6a9
Discovering faster matrix multiplication algorithms with reinforcement learning | Nature
Oct 5, 2022 - Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of...
reinforcement learning naturematrix multiplicationdiscoveringfasteralgorithms