6. Reinforcement Learning Consider the following deterministic Markov Decision Process (MDP), describing a simple robot grid world Notice the values of the immediate rewards are written next to...


Please provide the optimal policy. If there is a tie, always choose the state with the smallest index


6. Reinforcement Learning<br>Consider the following deterministic Markov Decision Process (MDP), describing a simple robot grid world<br>Notice the values of the immediate rewards are written next to transitions. Transitions with no value have an<br>immediate reward of 0. Assume the discount factor y = 0.8.<br>r =50<br>s1<br>s2<br>s3<br>r=100<br>s4<br>s5<br>số<br>

Extracted text: 6. Reinforcement Learning Consider the following deterministic Markov Decision Process (MDP), describing a simple robot grid world Notice the values of the immediate rewards are written next to transitions. Transitions with no value have an immediate reward of 0. Assume the discount factor y = 0.8. r =50 s1 s2 s3 r=100 s4 s5 số

Jun 11, 2022
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