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For random walks evolving in random environments, results as simple as a law of large numbers can be hard to get, especially when the environment is not i.i.d. We will use renormalization methods to prove laws of large numbers for 2D environments with polynomial decoupling. The 2D assumption, which can encompass both static environments and dynamic ones (i.e. 1D environments evolving in time), is crucial to get a notion of trap that is an essential part of our proof.