Continuous Reinforcement
A schedule of reinforcement where a desired behavior is reinforced every time it occurs, promoting quick learning and behavior maintenance.
49 topics found for
“reinforcement learning”
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Feynman Technique
A learning method that involves teaching a concept to a novice to identify gaps in understanding and reinforce knowledge.
Social Learning Theory
A theory that suggests people learn behaviors, skills, and attitudes through observing and imitating others, as well as through direct experiences.
Secondary Reinforcer
A stimulus that gains reinforcing properties through association with a primary reinforcer, such as money or tokens, which are associated with basic needs.
Behavioral Learning Theory
The theory that all behaviors are acquired through conditioning, often used to understand and influence behavior change.
Testing Effect
The phenomenon where taking a test on material improves long-term retention of that material more than additional study sessions.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Extinction Burst
A temporary increase in the frequency and intensity of a behavior when reinforcement is first removed.