1 Devise suitable features for reinforcement learning in stochastic grid worlds (generalizations of the 43 world) that...

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1 Devise suitable features for reinforcement learning in stochastic grid worlds (generalizations of the 4×3 world) that contain multiple obstacles and multiple terminal states with rewards of +1 or −1.

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