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Performance appraisal. A performance appraisal, also referred to as a performance review, performance evaluation, [1] (career) development discussion, [2] or employee appraisal, sometimes shortened to "PA", [a] is a periodic and systematic process whereby the job performance of an employee is documented and evaluated.
Theoretically, transfer of training is a specific application of the theory of transfer of learning that describes the positive, zero, or negative performance outcomes of a training program. [2] The positive transfer of training-- the increase in job performance attributed to training-- has become the goal of many organizations.
360-degree feedback. 360-degree feedback (also known as multi-rater feedback, multi source feedback, or multi source assessment) is a process through which feedback from an employee's subordinates, peers, colleagues, and supervisor (s), as well as a self-evaluation by the employee themselves is gathered. Such feedback can also include, when ...
Advanced product quality planning. Advanced product quality planning ( APQP) is a framework of procedures and techniques used to develop products in industry, particularly in the automotive industry. It differs from Six Sigma in that the goal of Six Sigma is to reduce variation, but has similarities to Design for Six Sigma (DFSS).
Reinforcement learning ( RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...
An after action report (or AAR) is any form of retrospective analysis on a given sequence of goal-oriented actions previously undertaken, generally by the author themselves. The two principal forms of AARs are the literary AAR, intended for recreational use, and the analytical AAR, exercised as part of a process of performance evaluation and ...
v. t. e. In machine learning, reinforcement learning from human feedback ( RLHF) is a technique to align an intelligent agent to human preferences. It involves training a reward model to represent human preferences, which can then be used to train other models through reinforcement learning . In classical reinforcement learning, an intelligent ...
After a 9-8 season in 2023, Joe Burrow and the Cincinnati Bengals face questions heading into 2024 training camp.