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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42244-4
Abstract: Temporal-difference (TD) learning models afford the neuroscientist a theory-driven roadmap in the quest for the neural mechanisms of reinforcement learning. The application of these models to understanding the role of phasic midbrain dopaminergic responses in…
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Keywords:
serial blocking;
difference learning;
neural mechanisms;
blocking effect ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211395
Abstract: The goal of this paper is to provide theoretical analysis and additional insights on a distributed temporal-difference (TD)-learning algorithm for the multi-agent Markov decision processes (MDPs) via saddle-point viewpoints. The (single-agent) TD-learning is a reinforcement…
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Keywords:
temporal difference;
policy temporal;
policy;
distributed policy ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3096829
Abstract: This paper investigates the reliable shortest path (RSP) planning problem from the reinforcement learning perspective. Different from canonical path planning methods, which require at least the first- order statistic (mean) and second-order statistic (variance) information…
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Keywords:
problem;
temporal difference;
path;
shortest path ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3043584
Abstract: In policy evaluation of reinforcement learning tasks, the temporal difference (TD) learning with value function approximation has been widely studied. However, feature representation has a decisive influence on both accuracy of value function approximation and…
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Keywords:
temporal difference;
tex math;
online sparse;
inline formula ... See more keywords