This is a trained model of a Q Learning agent playing FrozenLake.
This is a trained model of a Q Learning agent playing FrozenLake.
Using Google Colab, I trained a Q Learning agent that learns to go from the starting state (S) to the goal state (G) by walking only on frozen tiles (F) and avoiding holes (H).
Environment: FrozenLake-v1-4x4-no_slippery Model: Q Learning Mean Reward +/- Std. Dev.: 1.00 +/- 0.00
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