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Results tagged with reinforcement-learning
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user 40285
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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Is value iteration stopped after one update of each state?
In section 4.4 Value Iteration, the authors write
One important special case is when policy evaluation is stopped after just one sweep (one update of each state). This algorithm is called value itera …
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