Value functions
{"Image DocumentName": "Value functions", "Image ImageDescription": "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) How good notion is defined in terms of future expected returns, which depends on what action is taken. Value functions are defined with respect to particular policies. Policy: agent s way of behaving at a given time, formally: Policy \ud835\udf0b is a mapping from each state s \u2208 S, and action a \u2208 A(s), to the probability \ud835\udf0b(s,a) of taking action a when is state s. Value of state s under policy \ud835\udf0b and any time step t, V\ud835\udf0b(s) is given as: V\ud835\udf0b is called the state-value function for policy \ud835\udf0b. the eq is the expected return when starting in s and following \u03c0 thereafter. value of the terminal state, if any, is always zero.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}