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

Deep · Q-learning · Temporal difference learning · Markov decision process

Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the ...

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

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

r/reinforcementlearning: Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and…

It is an area of machine learning inspired by behaviorist psychology. Reinforcement learning is different from supervised learning because the correct inputs ...