Please choose more than one in the following question and give your reason Solving combinatorial optimization with Reinforcement Learning is appealing due to A Less training signal; B Flexibility in c

B and C.

B. Reinforcement Learning can be combined with other techniques such as deep learning or genetic algorithms to improve the accuracy of the optimization process. This flexibility allows for the creation of more efficient and effective solutions.

C. Reinforcement Learning has shown promising accuracy in solving combinatorial optimization problems. It has the potential to find optimal or near-optimal solutions in complex problems where traditional optimization techniques may struggle.