Reference health
Introduction: The challenge of reinforcement learning
8/8 checkable references clean · checked 2026-09-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 8 checked references that resolve
resolves10.1109/TSMC.1983.6313077
Neuronlike adaptive elements that can solve difficult learning control problems
resolves10.1109/TSMC.1987.289329
Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research
The 10 references without a DOI — listed, not checked
no DOI — not checkedBarto, A.G. Bradtke, S.J. & Singh, S.P. (1991).Real-time learning and control using asynchronous dynamic programming (Technical Report 91-57). Amherst, MA: University of Massachusetts, Computer Science Department.
no DOI — not checkedBooker, L.B. (1988). Classifier systems that learn world models.Machine Learning, 3 161?192.
no DOI — not checkedGrefenstette, J.J., Ramsey, C.L. & Schultz, A.C. (1990). Learning sequential decision rules using simulation models and competition.Machine Learning, 5 355?382.
no DOI — not checkedHampson, S.E. (1983).A neural model of adaptive behavior. Ph.D. dissertation, Dept. of Information and Computer Science, Univ. of Calif., Irvine (Technical Report #213). A revised edition appeared asConnectionist Problem Solving, Boston: Birkhäuser, 1990.
no DOI — not checkedHolland, J.H. (1975).Adaptation in natural and artificial systems. Ann Arbor, MI: Univ. of Michigan Press.
no DOI — not checkedHolland, J.H. (1986). Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems. In: R.S. Michalski, J.G. Carbonell, & T.M. Mitchell (Eds.),Machine learning, An artificial intelligence approach, Volume II 593?623, Los Altos, CA: Morgan Kaufman.
no DOI — not checkedKaelbling, L.P. (1990).Learning in embedded systems. Ph.D. dissertation, Computer Science Dept, Stanford University.
no DOI — not checkedMahadevan, S. & Connell, J. (1990). Automatic programming of behavior-based robots using reinforcement learning. IBM technical report. To appear inArtificial Intelligence.
no DOI — not checkedWatkins, C.J.C.H. (1989).Learning with delayed rewards. Ph.D. dissertation, Psychology Department, Cambridge University.
no DOI — not checkedWhitehead, S.D. & Ballard, D.H. (1991). Learning to perceive and act by trial and error.Machine Learning, 7 45?84.
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