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 ought to take...

for reinforcing bar), known when massed as reinforcing steel or steel reinforcement, is a steel bar used as a tension device in reinforced concrete and...

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

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

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

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

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

herniorrhaphy, in which no autogenous or heterogeneous material is used for reinforcement.[citation needed] The Stoppa procedure is a tension-free type of hernia...

previous actions, a theory he would articulate as the principle of reinforcement: If the consequences to an action are bad, there is a high chance the...