In behavioral psychology, reinforcement refers to consequences that increase the likelihood of an organism's future behavior, typically in the presence...

Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions...

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

Look up reinforcement in Wiktionary, the free dictionary. Reinforcement is a consequence that will strengthen an organism's future behavior whenever that...

Rebar (short for reinforcement bar or reinforcing bar), known when massed as reinforcing steel or steel reinforcement, is a tension device added to concrete...

Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem...

stimuli. The frequency or duration of the behavior may increase through reinforcement or decrease through punishment or extinction. Operant conditioning originated...

In materials science, reinforcement is a constituent of a composite material which increases the composite's stiffness and tensile strength. Following...

The reinforcement of 3D printed concrete is a mechanism where the ductility and tensile strength of printed concrete are improved using various reinforcing...

In behaviorism, rate of reinforcement is number of reinforcements per time, usually per minute. Symbol of this rate is usually Rf. Its first major exponent...

Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that...

In reinforcement learning (RL), a model-free algorithm is an algorithm which does not estimate the transition probability distribution (and the reward...

influential experimental work, outlined in their 1957 book Schedules of Reinforcement. Skinner was a prolific author, publishing 21 books and 180 articles...

A sound reinforcement system is the combination of microphones, signal processors, amplifiers, and loudspeakers in enclosures all controlled by a mixing...

without reinforcement when they had originally been conditioned on an intermittent reinforcement basis." Compared to the other reinforcement schedules...

Community reinforcement approach and family training (abbr. CRAFT) is a behavior therapy approach in psychotherapy for treating addiction developed by...

equalization, dynamics processing and audio effects, mixing, reproduction, and reinforcement of sound. Audio engineers work on the "technical aspect of recording—the...

compensated for by the inclusion of reinforcement having higher tensile strength or ductility. The reinforcement is usually, though not necessarily, steel...

Reinforcement is a process within speciation where natural selection increases the reproductive isolation between two populations of species by reducing...

Reinforcement theory is a limited effects media model applicable within the realm of communication. The theory generally states that people seek out and...

through which the strength of a voluntary behavior is modified, either by reinforcement or by punishment. However, classical conditioning can affect operant...

signals, electrocardiograms, and speech patterns using rudimentary reinforcement learning. It was repetitively "trained" by a human operator/teacher...

Reinforcement is a process of speciation where natural selection increases the reproductive isolation (further divided to pre-zygotic isolation and post-zygotic...

agents or humans involved. These can be learned (e.g., with inverse reinforcement learning), or the agent can seek information to improve its preferences...

consonants with glottal reinforcement, or similarly if it has a series of light implosives or voiced consonants with glottal reinforcement. The airstream parameter...

the next token. After this step, the model was then fine-tuned with reinforcement learning feedback from humans and AI for human alignment and policy...

Scleral reinforcement is a surgical procedure used to reduce or stop further macular damage caused by high myopia, which can be degenerative. Myopia is...

lightweight, rigid, deployable structures; rapid manufacturing; and dynamic reinforcement. High strain composites are another type of high-performance composites...

movement. The walls are infilled with granular soil, with or without reinforcement, while retaining the backfill soil. Reinforced walls utilize horizontal...

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...