Implemented deterministic FrozenLake ‘grid world’ problem where Q-learning agent learned a defined policy to optimally navigate through the lake. Python was used to program two classes which setup the state and agent respectively. Q-values are set state-action pairs and the algorithm chooses an optimal action for the current state based on estim…
☆18Apr 17, 2026Updated last month
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