Before revision:  We prove theoretically that our framework , which easily adopts existing RL algorithms, learns to construct a shaping-reward function that is tailored to the task and ensures convergence to higher performing policiesfor the given task .
After revision:  We prove theoretically that our framework , which easily adopts existing RL algorithms, learns to construct a shaping-reward function that is tailored to the task thus ensuring efficient convergence to high performance policies .