Grid World MDP

#Grid-World-MDP
  • Define and implement a grid world MDP
    • where each action costs -1 and
    • reaching the goal generates a reward that is equal to the distance from the start state to the goal state.
  • Compute and visualize the optimal policy and the optimal value function
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Reward Shaping

#Reward-Shaping
  • Compute the optimal pseudo-rewards of the reward shaping method
  • create a 2x2 plot where each subplot visualizes the optimal pseudo-rewards for one of the four possible actions in each state of the grid world.
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