Dynamic Multi-Agent Reinforcement Learning for Competitive E-Commerce Price Optimization: Curriculum-Driven SAC, Equilibrium Analysis and Ethical Safeguards

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Dynamic Multi-Agent Reinforcement Learning for Competitive E-Commerce Price Optimization: Curriculum-Driven SAC, Equilibrium Analysis and Ethical Safeguards
Συγγραφείς: Patel, Tejas Pravinbhai, Agarwal, Pragya
Πηγή: 2026 International Seminar on Intelligent Business and Edge-Computing Research (ISIBER) Intelligent Business and Edge-Computing Research (ISIBER), 2026 International Seminar on. :214-219 Feb, 2026
Relation: 2026 International Seminar on Intelligent Business and Edge-Computing Research (ISIBER)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798331558918
9798331558925
DOI:10.1109/ISIBER68248.2026.11470206