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Reinforcement Learning and MDPs Overview by alphab69 is a document available to read on EtoBox.
What is Reinforcement Learning and MDPs Overview about?
The document discusses reinforcement learning (RL) and Markov Decision Processes (MDPs), focusing on learning optimal actions through evaluation functions like V(S) and Q(S,A). It highlights the importance of reward signals, particularly dopamine, in both animal and human learning, and explores strategies for action selection and the implications of partially observable states. Additionally, it addresses the convergence of function approximators and the correspondence of RL models to human cognitive process
- Author
- alphab69
- Language
- EN