The idea is that when the learning agent performs an action it perceives as inferior, it is compensated for its loss, that is, it is given an additional reward ...
The present article gives a modification of the TD-learning algorithm that allows exploration without cost to the accuracy or speed of learning. The idea is ...
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An eligibility trace is a temporary record of the occurrence of an event, such as the visiting of a state or the taking of an action.
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when rewards are delayed by many steps. Thus it often makes sense to use eligibility traces when data are scarce and cannot be repeatedly processed, as is ...
Jan 16, 2018 · Here we review, in the context of three-factor rules of synaptic plasticity, four key experiments that support the role of synaptic eligibility traces.
Jul 31, 2018 · Learning rules of the brain must therefore bridge the gap between these two different time scales. Modern theories of synaptic plasticity have ...
Oct 12, 2018 · Eligibility traces are synaptic tags induced by Hebbian learning and are transformed into synaptic plasticity by the retroactive effect of ...
Learning While Exploring: Bridging the Gaps in the Eligibility Traces ... Q-Learning is a Reinforcement Learning technique that works by learning an action ...
Sep 19, 2018 · Thus, eligibility traces help bridge the gap between events and training information. Like TD methods themselves, eligibility traces are a ...
Eligibility traces allow an observation-action pair to access what hap- pens many time steps later, bridging the gap to un- ambiguous information about the ...