Reinforcement Learning

Reinforcement Learning

Reinforcement learning is a type of machine learning in which an agent learns to interact with its environment in order to maximize a reward. The agent receives feedback in the form of rewards or punishments for its actions, and uses this feedback to improve its strategy for interacting with the environment. Reinforcement learning algorithms, together with neural networks, can be used to solve a wide range of problems, including financial investment models and optimization of algorithmic trading strategies.