Policy-based Reinforcement Learning
Policy-based reinforcement learning is one of two fundamental classes of reinforcement learning algorithms. It explicitly constructs the policy, directly map...
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Machine Learning: Decision
Value-based Reinforcement Learning
Value-based reinforcement learning is one of two fundamental classes of reinforcement learning algorithms. It implicitly constructs the policy based on estim...
Mathematics: Markov Model
Markov Decision Process
A Markov decision process is a type of Markov models used in decision making problems, which describes the world with a controllable system. It is used to mo...
Markov Chain
A Markov chain is the simplest form of a Markov model, which describes the world with an autonomous system. It is used to model simulations, speech recogniti...
Neuroscience: From Cells to Systems
Spinal Cord, Brain and Nervous System
In the field of neuroscience, there are specific biological components that play unique roles. The brain serves as the primary organ for processing informati...
Neuron and Neural Tissue
In the field of neuroscience, there are specific biological components that play unique roles. A neuron acts as an electrical device that sends a signal by i...