Long-Term Reward Prediction in TD Models of the Dopamine System

DOI10.1162/089976602760407973zbMath1021.92005OpenAlexW2171535819WikidataQ40621633 ScholiaQ40621633MaRDI QIDQ4409377

Nathaniel D. Daw, David S. Touretzky

Publication date: 22 October 2003

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976602760407973

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (9)

Multiple model-based reinforcement learning explains dopamine neuronal activity ⋮ Computational algorithms and neuronal network models underlying decision processes ⋮ Neural systems implicated in delayed and probabilistic reinforcement ⋮ The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors ⋮ Hyperbolically Discounted Temporal Difference Learning ⋮ Internal-Time Temporal Difference Model for Neural Value-Based Decision Making ⋮ Representation and Timing in Theories of the Dopamine System ⋮ A Neurocomputational Model for Cocaine Addiction ⋮ Reinforcement learning in the brain

Cites Work

• On average versus discounted reward temporal-difference learning
• Average cost temporal-difference learning
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