Humans and animals develop learning-to-learn strategies throughout their lives to accelerate learning. One theory suggests that this is achieved by a metacognitive process of controlling and monitoring learning. Although such learning-to-learn is also ob
Another stream of approach to explain cooperation in repeated games is to assume reinforcement learning. In short, individuals obeying reinforcement learning would enhance the currently taken action if it has turned to be rewarding and vice versa. Different models of reinforcement learning have been ...
The principle of respondent conditioning was first demonstrated with dogs, but it turns out that this fundamental principle of learning works with almost every other animal on the planet, including human beings.For example, a particular food or drink that you had at particularly reinforcing times in...
Safe Reinforcement Learning from Human Feedback: constrained reward maximization via preference learningwhere R ( ⋅ ) and C ( ⋅ ) are reward and cost functions respectively. They are neural networks known as human proxies trained on human preferences....
Based on interviews and surveys conducted in some colleges and universities in Nanchang,this article points out the problems existing among college students with regard to their cognition of Red resources,examines the causes and then puts forward strategies for positive reinforcement in the hope of dra...
LearningClassifiersSystems(LCS)areruleformat,performancecomponents, reinforcementcomponent,anddiscoverycomponent.Reinforcementcomponents havebeenplaying[27]aninfluentialroleintheperformanceofLCS.Reinforcement learningisoneofthecoreitemsindesigninganartificialintelligentsystem ...
aIt seems that learning may be a hypereognized domain with a rich mental map or web readily retrievable for thinking and communicating about specific aspects of learning among the Chinese. 看起来学会也许是a hypereognized领域以一个富有的意境地图或网欣然可检索为考虑和沟通学会的具体方面在中国人之...
Instrumental learning within the spinal cord: V. Evidence the behavioral deficit observed after noncontingent nociceptive stimulation reflects an intraspin... Spinally transected rats given leg shock whenever one hindlimb is extended learn to maintain the leg in a flexed position, which minimizes net ...
Reinforcement learning is a fundamental mechanism displayed by many species. However, adaptive behaviour depends not only on learning about actions and outcomes that affect ourselves, but also those that affect others. Using computational reinforcement l
Classical reinforcement learning (CRL) has been widely applied in neuroscience and psychology; however, quantum reinforcement learning (QRL), which shows superior performance in computer simulations, has never been empirically tested on human decision-ma