QLoRA (Quantized Low-Rank Adaptation)

Q-Learning is a model-free reinforcement learning algorithm that enables agents to learn the best actions to take in various states, aiming to maximize cumulative rewards. It does this by iteratively updating a Q-value function based on experiences, balancing exploration and exploitation, and converging to an optimal policy without needing a model of the environment.