Leonardo A. F. Mendoza

REWARD STRUCTURE MODULATES MULTI-AGENT REINFORCEMENT LEARNING ALGORITHM PERFORMANCE: A MULTI-BENCHMARK STUDY OF DRL-MD-HNFP WITH CONTROLLED INTERVENTION EVIDENCE AND INTERPRETABILITY METRICS

This paper presents a multi-benchmark evaluation of the Deep Reinforcement Learning Market-Driven Hierarchical Neuro-Fuzzy Politree (DRL-MD-HNFP) [13,14] against six modern multi-agent reinforcement learning (MARL) baselines [1,4,10,19,20,22], combined with a high-resolution controlled experiment providing intervention...