Before revision:  In this paper, we propose a new decomposed multi-agent soft actor-critic (mSAC) method, which incorporates the idea of the multi-agent value function decomposition and soft policy iteration framework effectively and is a combination of novel and existing techniques, including decomposed Q value network architecture, decentralized probabilistic policy , and counterfactual advantage function ( optional ).
After revision:  In this paper, we propose a new decomposed multi-agent soft actor-critic (mSAC) method, which effectively combines the advantages of the aforementioned two methods. The main modules include decomposed Q network architecture, decentralized probabilistic policy , and counterfactual advantage function ( optional ).