reinforcement learning

Problems whose solutions optimize an objective function defined over multiple steps generally require considerable a prior knowledge. Dynamic programming techniques are able to solve such multi-stage, sequential decision problems, but they require complete knowledge of the state space, including state transition probabilities. Bertsekas (1995) has recently published a two-volume text that covers current dynamic programming … Read more