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Clarify value function decomposition in reinforcement learning - #2727
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Revised the mathematical representation of the value function to clarify the decomposition of state value into immediate reward and expected future value. *Move the immediate reward term inside the expectation over a_0, since r(s_0,a_0) depends on the action sampled from the policy.
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Revised the mathematical representation of the value function to clarify the decomposition of state value into immediate reward and expected future value.
*Move the immediate reward term inside the expectation over a_0, since r(s_0,a_0) depends on the action sampled from the policy.
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Resolves #2728