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* Currently this is specific to the case of discretizing a continuous action space. Can easily be adapted to other case by feeding the kNN otherwise, and removing the usage of a discretizing output action filter
1.2 KiB
1.2 KiB
Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes - value optimization, policy optimization and imitation learning. A detailed description of those algorithms can be found by navigating to each of the algorithm pages.
