1 Extend the standard game-playing environment from the chapter, “Adversarial Search” to incorporate a reward signal. Put two reinforcement learning agents into the environment

(they may, of course, share the agent program) and have them play against each other. Apply the generalized TD update rule (Equation (12)) to update the evaluation function. You might wish to start with a simple linear weighted evaluation function and a simple game, such as tic-tac-toe.