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  .
In this paper, we propose actor-critic approaches by introducing an actor policy on QMIX [ 9 ] , 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 .
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. 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