Common problems with array reshaping in bespoke policy networks for reinforcement learning are covered in this tutorial. When the action space's dimensions are not appropriately managed during training, a mismatch results, which is a specific fault. Such problems can be overcome by employing error handling techniques and precisely specifying the observation space.