Relative continuum theory has been proposed in discrete state under the principle of continuity.
根据连续性原理提出离散状态下相对连续的理论。
Conventional reinforcement algorithms only deal with discrete state Spaces and discrete action Spaces.
传统的强化学习算法只能解决离散状态空间和动作空间的学习问题。
This is because they are discrete state digital electronic devices that are prone to total and catastrophic failure.
这是因为他们是处于分离状态的数字电子装置,容易引起全面的灾难性崩溃。
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