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Working memory training is intended to improve a person's working memory.Working memory is a central intellectual faculty, linked to IQ, ageing, and mental health.It has been claimed that working memory training programs are effective means, both for treating specific medical conditions associated with working memory deficit, and for general increase in cognitive capacity among healthy ...
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...
Human feedback is commonly collected by prompting humans to rank instances of the agent's behavior. [15] [17] [18] These rankings can then be used to score outputs, for example, using the Elo rating system, which is an algorithm for calculating the relative skill levels of players in a game based only on the outcome of each game. [3]
Community reinforcement has both efficacy and effectiveness data. [23] Started in the 1970s, community reinforcement approach is a comprehensive program using operant conditioning based on a functional assessment of a client's drinking behavior and the use of positive reinforcement and contingency management to achieve a goal of non-drinking. [24]
Osher Lifelong Learning Institutes (OLLI) offer noncredit courses with no assignments or grades to adults over age 50. Since 2001, philanthropist Bernard Osher has made grants from the Bernard Osher Foundation to launch OLLI programs at 120 universities and colleges throughout the United States.
Internationally there are many academic journals, adult education organizations (including government agencies) and centers for adult learning housed in a plethora of international colleges and universities that are working to promote the field of adult learning, as well as adult learning opportunities in training, traditional classes and in ...
Operant conditioning originated with Edward Thorndike, whose law of effect theorised that behaviors arise as a result of consequences as satisfying or discomforting. In the 20th century, operant conditioning was studied by behavioral psychologists, who believed that much of mind and behaviour is explained through environmental conditioning.
Q-learning is a model-free reinforcement learning algorithm that teaches an agent to assign values to each action it might take, conditioned on the agent being in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations.