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By the end of this section, you will be able to: Describe how movement of ions across the neuron membrane leads to an action potential. Describe the components of the membrane that establish the resting membrane potential. Describe the changes that occur to the membrane that result in the action potential.
- Lindsay M. Biga, Sierra Dawson, Amy Harwell, Robin Hopkins, Joel Kaufmann, Mike LeMaster, Philip Mat...
- 2019
May 20, 2021 · Value function can be defined as the expected value of an agent in a certain state. There are two types of value functions in RL: State-value and action-value.
The value functions are functions of states (or of state–action pairs) that estimate how good it is for the agent to be in a given state (or how good it is to perform a given action in a given state). The state value function tells us the value for being in some state when following some policy.
Intuition: if the optimal state-action values for the next time-step Q*(s’,a’) are known, then the optimal strategy is to take the action that maximizes the expected value of. The optimal Q-value function Q* is the maximum expected cumulative reward achievable from a given (state, action) pair:
Almost all reinforcement learning algorithms are based on estimating value functions --functions of states (or of state-action pairs) that estimate how good it is for the agent to be in a given state (or how good it is to perform a given action in a given state).
Jul 30, 2022 · A potential is a distribution of charge across the cell membrane, measured in millivolts (mV). The standard is to compare the inside of the cell relative to the outside, so the membrane potential is a value representing the charge on the intracellular side of the membrane based on the outside being zero, relatively speaking (Figure 6). Figure 6.
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In this article, we introduce fundamental concepts of reinforcement learning—including the k-armed bandit problem, estimating the action-value function, and the exploration vs. exploitation dilemma.
