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- Action Value Function (Q (s, a)) The action value function, denoted as Q (s, a), estimates the expected cumulative future rewards an agent can obtain starting from state s, taking action a, and then following a certain policy. It quantifies the "goodness" of taking a specific action in a specific state.
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May 21, 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.
- A brief explanation of state-action value function (Q) in RL
The value function returns a value of a state or...
- A brief explanation of state-action value function (Q) in RL
The action value function tells us the value of taking an action in some state when following a certain policy. After we derive the state value function, V(s) and the action value function, Q(s, a), we will explain how to find the optimal state value function and the optimal action value function.
Aug 22, 2023 · The value function returns a value of a state or state-action pair. There are two value functions: state value function and state-action value function. The state-value function...
The Q function and the value function are both used to estimate the expected cumulative reward, but they do so in different ways. The Q function takes both the state and the action as input, while the value function only takes the state as input.
May 18, 2022 · Action-Value function: outputs the expected return if the agent starts in a given state, takes a given action at that state and then acts accordingly to the policy forever after. In value-based methods, we define the policy by hand because we don't train it, we train a value function.
Oct 11, 2023 · The action value function, denoted as Q (s, a), estimates the expected cumulative future rewards an agent can obtain starting from state s, taking action a, and...
Oct 2, 2018 · The action-value function q_π(s,a) is the expected return starting from state s, taking action a, and then following policy π. Action-value function tells us how good is it to take a particular action from a particular state.
