Before revision: We propose a new approach to solving dynamic decision problems with unbounded rewards , based on an application of the Q-learning transform to the Bellman equation. Q-learning is a technique from the reinforcement learning literature with strong convergence properties.
After revision: We propose a new approach to solving dynamic decision problems with unbounded rewards , based on an application of the Q-learning .