You are provided with n questions in an examination. You are required to answer m questions out of given n questions where m $<=$ n$.$ Every question demands selection of an algorithm. A student decided to design different types of agents to solve this problem and came up with different heuristics. The program automatically applies different agents and heuristics to provide solutions for each of the problems asked in exam. Model it as multi$-$agent co$-$operative learning problem. The admissibility and completeness of solution gives final set of approaches, their prioritization and towards end gives m questions along with the best possible approaches to be used for them. Develop a reinforcement learning based solution to find out these questions and approaches. Provide detailed diagram and pseudo code. Also discuss PEAS of agents and multi$-$agent system for the same.