The phrase "agent assessment" is correct and usable in written English.
It can be used in contexts related to evaluating the performance or capabilities of an agent, such as in business, customer service, or technology.
Example: "The company conducted an agent assessment to determine the effectiveness of their customer support representatives."
Alternatives: "agent evaluation" or "agent review".
This study used agent assessment, which can assess the validity of posed problems and automatically give feedback to the learners according to their mistakes.
This automatic method of diagnosis-facility assessment is called agent assessment.
This automatic way of diagnosis-facility assessment is called agent assessment.
Furthermore, learning environment systems that use practical agent assessment have been developed (Hirashima et al. 2008a, 2008b, 2014).
The current study uses the same kind of learning environment system that the above studies in agent assessment used.
This study aims at analyzing the practical realization of agent assessment to understand the learning process of posing problems.
We propose a Markov decision process as a multi-agent assessment and response system, with reinforcement learning designed to ensure the integration of ERT and RAT operations.
For some agents, assessment of tumors from patients with responses in phase I or II trials led to the discovery of important, previously-unappreciated biomarkers (e.g., EGFR activating mutations for erlotinib and gefitinib in NSCLC [ 72, 73], EML4/ ALK fusions for crizotinib in NSCLC [ 74], and KRAS mutation status for cetuximab in colorectal cancer [ 53]).
As studies that used blinded treatment assignment and/or review of progression tended to be those evaluating novel targeted agents, assessment of the independent effects of blinding of treatment assignment and/or BICR on the association between treatment effects on PFS and treatment effects on OS was infeasible.
Mr. Winchester cited travel agents' assessments that show bookings for cruises three to six months from now are about 25percentt lower than at this time a year ago.
Mele (2001), drawing on empirical research regarding lay hypothesis testing, argues that selectivity may be explained in terms of the agent's assessment of the relative costs of erroneously believing p and ~p.
