Question: 2- Implement an exploring reinforcement learning agent that uses direct utility estimation. Make two versions-one with a tabular representation and one using the function approximator

2- Implement an exploring reinforcement learning agent that uses direct utility

2- Implement an exploring reinforcement learning agent that uses direct utility estimation. Make two versions-one with a tabular representation and one using the function approximator U^(x,y)=0+1x+2y. Compare their performance in the environments: A 1010 world with no obstacles and a+1 reward at (5,5)

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