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| <h2>RL - Slippery Frozen Lake Q-Learning</h2> | |
| <p>I trained a Q-Learning model on the OpenAI Gym Slippery Frozen Lake environment for 20,000 iterations, and | |
| evaluated for 1,000 iterations. | |
| The trained model had a success rate of about 73%. Action for the 3 column on the second row is especially | |
| interesting, | |
| it correctly learns that the best policy is to try move toward one of the holes because there is a 1/3 | |
| chance of slipping and slips are orthogonal to the desired direction.</p> | |
| <img src="assets/eval_screenshot_train_20k.png" alt="Q-Learning Agent"> | |
| <a href="https://www.youtube.com/watch?v=b1oh3TK6Jhg" target="_blank">Training and Evaluation Video | |
| (youtube)</a> | |
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