B. Rai

From Multi-Agent Reinforcement Learning to Agentic AI: A Comprehensive Literature Review of Algorithmic Advances and Decision-Analytic Implications (2020-2025)

This literature review synthesizes 57 peer-reviewed and openly archived contributions published since 2019 into a thematic taxonomy spanning value-decomposition algorithms, trust-region and sequence-model policy methods, and LLM-based agentic frameworks, and discusses implications for applied decision analytics.