Q-learning
Software / App
A model-free reinforcement learning algorithm that uses value-based methods to learn optimal actions by estimating the quality of state-action pairs.
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Videos Mentioning Q-learning
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL
Stanford Online
A model-free reinforcement learning algorithm that uses value-based methods to learn optimal actions by estimating the quality of state-action pairs.
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy Optimization
Stanford Online
A value-based reinforcement learning algorithm contrasted with policy optimization methods.
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based Methods
Stanford Online
An off-policy temporal difference learning algorithm that learns the optimal action-value function, updating towards the maximum Q-value of the next state.