In this paper, we identify the best training scenario to train a team of agents to compete against multiple possible strategies of opposing teams.We restrict ourselves to the case of a symmetric two-team Markov game which is a competition between two symmetric teams.We evaluate cooperative value-based methods in a mixed cooperative-competitive environment.We selected three training methods based on the centralised training and decentralised execution (CTDE) paradigm: QMIX, MAVEN and QVMix.To tra…