◐ learning · kind concept · level 2 · 26h
- Requiere: Probability
An agent learns a policy by acting and receiving rewards, trading off exploration and exploitation. The framing behind game-playing agents and RLHF.
In machine learning and optimal control, reinforcement learning (RL) is 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 Learning.
Enlaces
- Requiere: Probability