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Results tagged with reinforcement-learning
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user 49844
For questions related to reinforcement learning, i.e. a machine learning technique where we imagine an agent that interacts with an environment (composed of states) in time steps by taking actions and receiving rewards (or reinforcements), then, based on these interactions, the agent tries to find a policy (i.e. a behavioural strategy) that maximizes the cumulative reward (in the long run), so the goal of the agent is to maximize the reward.
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Calculating state-value functions in Markov Decision Process
I looked at this not long ago. You need to understand that the slide is referring to an optimal (not expected) value function & optimal Action-Value function. Let's look at his diagram. From left t …
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