"Easy" reinforcement learning tasks for sanity checking? • /r/MachineLearning

In deep supervised learning, you can overfit a small dataset as a sanity check: making sure your model is implemented correctly and can actually learn before going on to train on your real, big dataset. Are there similar strategies in reinforcement learning, where one can get results in a few minutes before moving on to spend a day training on Space Invaders or even Pong?