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Results tagged with reinforcement-learning
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user 44752
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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What is the purpose of storing the action $a$ within an experience tuple?
The goals of experience replay as first proposed by Lin (1992) and more recently applied successfully in the DQN algorithm by Mnih et al. (2013) are to break temporal correlations of updates and to pr …
