Learning strict Nash equilibria through reinforcement

B-Tier
Journal: Journal of Mathematical Economics
Year: 2014
Volume: 50
Issue: C
Pages: 148-155

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al. (2001).

Technical Details

RePEc Handle
repec:eee:mateco:v:50:y:2014:i:c:p:148-155
Journal Field
Theory
Author Count
1
Added to Database
2026-01-25