The phrase "at each action" is correct and usable in written English.
It can be used to refer to specific occurrences or steps taken during a process or activity.
Example: "The system logs the time taken at each action to improve efficiency."
Alternatives: "for every action" or "with each step".
In each case, the target was a corporation or government, not the general public; no one's safety was ever purposefully put at risk; and each action was cheerfully claimed by the camp, usually in a press release.
I suppose looked at in order, each action might be seen as more extraordinary than the last... many couples have children, very few CEO's take a two-month paternity leave, and virtually no one has ever given away such a sum.
Our method is based on the nearest neighbor (NN) approach [10] and uses the joint trajectories estimated from the depth sequences, referred to as action templates (ATs), as a model for each action class.
They require transparency and an "explanation of each action" at the end of the special counsel investigation, but they don't forbid more transparency on top of that.
Numbers in bold represent the recognition rate for each action at each resolution level.
Then your utility function will measure how much you value the outcomes of each action at each state of the world: that is, it will give the value of being in the rain without an umbrella, being in the rain with an umbrella, being with an umbrella when there is no rain, and being without an umbrella when there is no rain.
There are as many as 500 possible actions at any one time; for each action there are several thousand possible next states.
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffected by the action.
Another common approach to this issue is choosing a stochastically sampled policy (also known as ε-greedy policy, [42]) where, at each step, a randomly sampled action is taken with a probability p. We propose a variation of the stochastically sampled policy where sampling is performed by scaling the expected payoff value of each action to the minimum possible payoff for the game.
You will both have to look at each others actions before you kiss him.
