Document Type
Working Paper
Abstract
We study price dynamics in a service market environment where identical service providers dynamically reset their prices to price discriminate informed and uninformed consumers. A semi-Markovian game model for dynamic pricing is developed and a new multi-time scale actor-critic algorithm is proposed for multi-agent reinforcement learning. Also, experimental results on convergence to a Nash equilibrium are presented.
Publication Date
1-4-2003
Publisher
Indian Institute of Management Bangalore
Pagination
25p.
Recommended Citation
Diatha, Krishna Sundar and Ravikumar, K, "Multi-agent learning in dynamic pricing games of service markets" (2003). Working Papers. 215.
https://research.iimb.ac.in/work_papers/215
Relation
IIMB Working Paper-210