Temporal Difference Learning Method is a mix of Monte Carlo method and Dynamic programming method. Some of the advantages of this method include :
* It can learn in every step online or offline.
* It can learn from a sequence which is not complete as well.
* It can work in continuous environments.
* It has lower variance compared to MC method and is more efficient than MC method.
Limitations of TD method are :
* It is a biased estimation.
* It is more sensitive to initialization.
