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How to Use Q Online Training » This article describes how to access Q's hundred+ self-guided training modules. Method  From within Q, select Help > Online Training. You will need to first create an online training account by… Help.qresearchsoftware.com

National Fire Academy Self-Study Courses » Application information and course descriptions for the National Fire Academy's free self-study fire service training courses. Usfa.fema.gov

Q-Drops - Aggie One Stop » Find instructions on Q-drops at Texas A&M University to drop a class after the drop/add period. Tamu.edu

Quinsigamond Community College » QCC is the most affordable higher education in central Massachusetts, with over 150 associate degree, certificate, workforce, and personal enrichment programs. Qcc.edu

Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs » Q-learning is a popular Reinforcement Learning (RL) algorithm which is widely used in practice with function approximation (Mnih et al., 2015). In contrast, existing theoretical results are pessimistic about Q-learning. For example, (Baird, 1995) shows that Q-learning does not converge even with linear function approximation for linear MDPs. Furthermore, even for tabular MDPs with synchronous updates, Q-learning was shown to have sub-optimal sample complexity (Li et al., 2021;Azar et al., 2013). The goal of this work is to bridge the gap between practical success of Q-learning and the relatively pessimistic theoretical results. The starting point of our work is the observation that in practice, Q-learning is used with two important modifications: (i) training with two networks, called online network and target network simultaneously (online target learning, or OTL) , and (ii) experience replay (ER) (Mnih et al., 2015). While they have been observed to play a significant role in the practical success of Q-lear Arxiv.org

Q Grader Prep Course - Coffee Courses » THIS IS NOT AN ONLINE Q GRADER COURSE! SUCH THINGS DO NOT EXIST. Coffeecourses.com

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