In this paper, we focus on developing a curriculum for learning a robust and promising policy in a constrained computational budget of 100,000 games, starting from a fixed base policy (which is itself  ...  We test this hypothesis and show that within constrained computational budgets, it is in fact better to "learn in the school of hard knocks", i.e., against all available opponent policies nearly from the  ...  Conclusion In a hybrid cooperative/adversarial multi-agent game such as Pommerman, curriculum learning is a popular way of accelerating training.  ...