Sentence examples for action space from inspiring English sources

"action space" is a valid and commonly used phrase in written English.
It refers to the range or scope of possible actions that someone can take in a given situation. Examples: 1. "In order to achieve success, it's important to expand your action space and consider different strategies." 2. "As a leader, it's important to give your team enough action space to make decisions and take ownership of their tasks." 3. "The new government policies have limited the action space for small businesses, making it difficult for them to thrive." 4. "I feel like I have a lot of action space in my current job, with the freedom to take on different projects and make meaningful contributions." 5. "When dealing with conflict, it's important to consider the other person's action space and find a solution that works for both parties."

Exact(59)

Total paths are determined by considering categories such as action space and methodology of avoidance.

We find that acetylcholine, by allowing learning from negative outcomes, enhances exploration over the action space.

In this talk, I will describe/demonstrate the challenges and our solutions for designing the action space, collecting data, training models, communicating the action space to users, and methods for interactive learning.

Coordinates of an ultimate limit point in the action space are proportional to combination values of actions.

Our approach employs state space and action space hierarchy, and can effectively model large environments at a fine resolution.

This procedure can be repeated and finally a representation of an action space in multiple levels of detail results.

The state space and action space are extracted from the same hierarchical doctrine used by the rule-based CGF.

The results provide upper bounds that are independent of state and action space cardinalities and polynomial in other problem parameters.

The former aims to rapidly generate an initial solution by employing the concepts of action space and fit degree in evaluating different placements.

Our approach is to apply reinforcement learning that adopts the Bayesian discrimination method for segmenting a continuous state space and a continuous action space simultaneously.

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Similar(1)

The proposed controller does not need system model or desired response and can effectively handle disturbances in continuous state-action space problems.

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