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This approach expands beyond conventional methods of estimating value.
Strung together in overly simplistic terms, an algorithm can be fine-tuned over many iterations to make optimal decisions by estimating value functions.
Dynamic programming provides techniques for estimating value functions in terms of Q-values without waiting for a final outcome.
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.
Sutton and Barto, the pioneers of the TD learning algorithm, indicate that "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)" (Sutton and Barto, 1998, [p.68]).
An appraisal, is the process of estimating value.
Similar(49)
Estimated value: $2 million.
The items had an estimated value of more than $1 million.
They have a potential estimated value of about $4 million based on current estimated values — and possibly more if the stock rises.
Real Estate: 12,900 square feet, estimated value $800,000.
The paintings have an estimated value of tens of millions of dollars, if sold at auction.
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