Naive Reinforcement Learning With Endogenous Aspirations
By Tilman Börgers, Rajiv Sarin. 2000
187 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, General Decision Sciences, Safety Research
View Paper: https://www.semanticscholar.org/paper/9fbfcf4080992723481fbb447bdfe76ad2f46d5e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
In General Decision Sciences
In Safety Research
- Dean Phillips Foster
- Nir Vulkan
- Brian Skyrms
- Richard H. Thaler
- Jason R. Marden
- Jeff S. Shamma
- T. Griffiths
Citations in the corpus
- An Economist's Perspective on Probability Matching (2000, background): “Second, to familiarise the reader with the different theoretical approaches to behaviour in such circumstances, and to focus on the differences in predictions between these theories in light of recent advances (such as Borgers & Sarin (1993, 1995), and Borgers, Morales and Sarin (1997)).”
- Regret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an Opponent (2006, background): “For models of aspiration learning see Karandikar et al. (1998), Börgers and Sarin (2000), Bendor et al. (2001), and Cho and Matsui (2005). action can be written on multiple tickets, a hat is a device for generating probability distributions over actions.”
- The Stag Hunt and the Evolution of Social Structure (2003, background): “Dynamic aspiration levels are also discussed in the context of a somewhat different model of reinforcement learning by Borgers and Sarin (2000).”
- The merger paradox and why aspiration levels let it fail in the laboratory (2007, unknown): “Bowman (1980, 1982) and Singh (1986) show that there is a negative relation between firm performance and the variance of firms returns, suggesting that poorly performing firms are willing to take higher risks, and that this can be attributed to aspiration levels (Bowman, 1982).”
- Agent-Based Models and Human Subject Experiments (2004, unknown): “Aspiration learning has recently been resuscitated in game theory, e.g. by Karandikar, Mookherjee, Ray and Vega-Redondo (1998) and Börgers and Sarin (2000) among others.”