CONTINUOUS CONTROL WITH DEEP REINFORCEMENT …
An obvious approach to adapting deep reinforcement learning methods such as DQN to continuous domains is to to simply discretize the action space. However, this has many limitations, most no-tably the curse of dimensionality: the number of actions increases exponentially with the number of degrees of freedom.
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