Before revision: In this paper, I propose actor-critic approaches by introducing an actor policy on QMIX ( [ 1 ] ) , which can remove the monotonicity constraint of QMIX and implement a non-monotonic value function factorization for joint action-value  .
After revision: In this paper, I propose actor-critic approaches by introducing an actor policy on QMIX ( [ 1 ] ) , which can remove the monotonicity constraint of QMIX and implement a non-monotonic value function factorization for joint action-value . We evaluate our actor-critic methods on StarCraft II micromanagement tasks, and show that it has a stronger performance on maps with heterogeneous agent types .