This paper presents an operative measure of reinforcement for constructive learning Ε½ . methods, i.e., eager learning methods using highly expressible or universal representation languages. These evaluation tools allow a further insight in the study of the growth of knowledge, theory revision, and a
β¦ LIBER β¦
Reinforcement Learning and Savings Behavior
β Scribed by JAMES J. CHOI; DAVID LAIBSON; BRIGITTE C. MADRIAN; ANDREW METRICK
- Book ID
- 109176631
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 125 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0022-1082
No coin nor oath required. For personal study only.
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