Negative Learning Rates and P-Learning
  We present a method of training a differentiable function approximator for a regression task using negative examples. We effect this training using negative learning rates. We also show how this method can be used to perform direct policy learning in a reinforcement learning setting. 
Devon Merrill
cs.AI cs.LG