Q-learning is a machine learning approach that enables a model to iteratively learn and improve over time by taking the correct action. Q-learning is a type of reinforcement learning. With ...
Continues my MS project lied at the intersection of zero-sum optimal control, game-theoretic multi-agent systems, and model-free quadratic Q-learning, with a focus on disturbance-aware ...
Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions. Reinforcement learning is based on rewarding desired behaviors and punishing ...