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Q-learning – Model-free reinforcement learning algorithm

On: July 6, 2019

In: AI, Algorithms, Deep Machine Learning, Reinforcement Learning

Learns a policy which tells an agent what action to take under what circumstances. Q-learning learns a policy that is optimal in the sense that it maximizes the expected value of the total reward over any and all successive steps, starting from the current state.Continue Reading

Markov decision process (MDP) – Reinforcement Learning decision model

On: July 6, 2019

In: AI, Deep Machine Learning, Reinforcement Learning

* Is a discrete time stochastic control process for decision making in situations where outcomes are partly random and partly under the control of a decision maker. * At each discrete time step, the process is in some state s, and the decision maker may choose any action a thatContinue Reading