Reinforcement Learning, Hugging Face Hub, Machine Learning, Deep Learning.
receives after taking an action. Rewards can be positive, negative, or neutral. Policy: A policy is a function that tells the agent what action to take in a given state. State: A state is a description of the agent’s current situation in the environment. Reinforcement Learning Algorithms A