Advantages of TD Learning
{"Image DocumentName": "Advantages of TD Learning", "Image ImageDescription": "TD methods do not require a model of the environment, only experience. TD, but not MC, methods can be fully incremental. You can learn before knowing the final outcome. Less memory. Less peak computation. You can learn without the final outcome. From incomplete sequences. Both MC and TD converge (under certain assumptions to be detailed later), but which is faster? R. S. Sutton and A. G. Barto: Reinforcement Learning: An Introduction.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}