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Evolutionary algorithms for optimising reinforcement learning policy approximation
Reinforcement learning methods have become more efficient in recent years. In particular, the A3C (asynchronous advantage actor critic) approach demonstrated in Mnih et al. (2016) was able to halve the training time of the existing state-of-the-art approaches. However, these methods still require re...
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| Language: | English |
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Department of Statistical Sciences
2020
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