Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take ...

The deep reinforcement... · Q-learning · Markov decision process · Optimal control

Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the ...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from ...

Outline of machine learning · Timeline · Neural network (machine... · Data mining

Federated learning is a sub-field of machine learning focusing on settings in which multiple entities collaboratively train a model while ensuring that ...

Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that ...