In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves...

Preference learning is a subfield of machine learning that focuses on modeling and predicting preferences based on observed preference information. Preference...

and the binary representation of the output of a preference learning algorithm is called a preference relation, regardless of whether it fits the weak...

anomaly detection, calibrated uncertainty, formal verification, preference learning, safety-critical engineering, game theory, algorithmic fairness,...

individuals express personal preferences on how they prefer to receive information,: 108  few studies have found validity in using learning styles in education...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed...

Learning Offline learning Parity learning Population-based incremental learning Predictive learning Preference learning Proactive learning Proximal gradient...

building systems capable of inferring, acquiring, or learning human values, goals, and preferences from data, behavior, and feedback. The aim is to ensure...

Hierarchical Reinforcement Learning. CoRR abs/1012.2599 (2010) Eric Brochu, Nando de Freitas, Abhijeet Ghosh: Active Preference Learning with Discrete Choice...

recommendations. Multi-view deep learning has been applied for learning user preferences from multiple domains. The model uses a hybrid collaborative and...

Deep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available...

expressed preference that differs from the underlying privately held preference (or simply, a public preference at odds with one’s private preference). People...

The Imperial Preference was a system of mutual tariff reduction introduced across the British Empire and later the British Commonwealth following the Ottawa...

to learning (experience and observation) and habit formation (past-experience). Acquired taste Dold, Malte (2023-09-15). "Endogenous preferences: a challenge...

Tsurugizawa, T; Kondoh, T; Torii, K. (2009). "Conditioned flavor preference learning by intragastric administration of L-glutamate in rats". Neurosci...

demonstrate a preference for learning through activities they are able to manipulate while young adult females show a greater preference for learning through...

Fürnkranz, Johannes (2017). "A survey of preference-based reinforcement learning methods". Journal of Machine Learning Research. 18 (136): 1–46. Christiano...

The psychology of music preference is the study of the psychological factors behind peoples' different music preferences. One study found that after researching...

In behavioral economics, time preference (or time discounting, delay discounting, temporal discounting, long-term orientation) is the current relative...

discussed that associative learning is the process where an individual develops color preferences. In different countries, color preference vary. In China, red...

Decision making Bargaining Contracts Auctions Coordination Social Preferences Learning Matching Field Experiments, most usually associated with John A....

model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational learning theory problem...

action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning. Experiential learning is often...

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...

presented to them. Although learning styles have "enormous popularity", and both children and adults express personal preferences, there is no evidence that...

dominance-based rough set theory, robust ordinal regression and preference learning 2017 Zhang, Jun For contributions to evolutionary computation and...

learning, workplace or work-centred learning. Distinctive, though, are a concern for professional learning, and the preference for practice rather than work...

primates. Rats use social learning in a wide range of situations, but perhaps especially so in acquiring food preferences. Learning about suitable foods can...

Conditioned place preference (CPP) is a form of Pavlovian conditioning used to measure the motivational effects of objects or experiences. This motivation...