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Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...
Many applications of reinforcement learning do not involve just a single agent, but rather a collection of agents that learn together and co-adapt. These agents may be competitive, as in many games, or cooperative as in many real-world multi-agent systems. Multi-agent reinforcement learning studies the problems introduced in this setting.
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning .
Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. Reinforcement learning is a behavioral learning ...
The MTL prompting procedure begins with the most restrictive prompt, usually a physical prompt. After the learner has received reinforcement for completing the task with physical prompts, a less restrictive prompt is given (e.g., a partial physical prompt), and then an even less restrictive prompt (e.g., verbal prompt).
Observational learning is learning that occurs through observing the behavior of others. It is a form of social learning which takes various forms, based on various processes. In humans, this form of learning seems to not need reinforcement to occur, but instead, requires a social model such as a parent, sibling, friend, or teacher with ...
Reinforcement is particularly effective in the learning environment if context conditions are similar. [33] Recent research indicates that behavioral interventions produce the most valuable results when applied during early childhood and early adolescence. [34] Positive reinforcement motivates better than punishment.
Reinforcement is an important component of operant conditioning and behavior modification. The concept has been applied in a variety of practical areas, including parenting, coaching, therapy, self-help, education, and management.