I need to implement a python code for Q learning and SARSA method. My example involves a cliff walking experiment where the rewards are -1 except for the region marked as cliff if the agent steps there the reward is -100 and the agent is sent back to the start. The values used are alpha = 0.1, y or gamma = 1 and the e- greedy action is 0.1.
I need to implement a python code for Q learning and SARSA method. My example involves a cliff walking experiment where the rewards are -1 except for the region marked as cliff if the agent steps there the reward is -100 and the agent is sent back to the start. The values used are alpha = 0.1, y or gamma = 1 and the e- greedy action is 0.1. After using these values on both
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