Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics

Comparative system for multiagent algorithms with different learning strategies. The analysis is carries with the helps of a nash equilibria comparison, the replicator dynamic and a simple grand table with the average reward obtained.