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Update info about Double DQN thanks chase for the feedback

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Thomas Simonini
2022-08-09 08:31:46 +02:00
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unit3/unit3.ipynb
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@@ -20,6 +20,8 @@
"\n",
"In this notebook, **you'll train a Deep Q-Learning agent** playing Space Invaders using [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo), a training framework based on [Stable-Baselines3](https://stable-baselines3.readthedocs.io/en/master/) that provides scripts for training, evaluating agents, tuning hyperparameters, plotting results and recording videos.\n",
"\n",
"We're using the [RL-Baselines-3 Zoo integration, a vanilla version of Deep Q-Learning](https://stable-baselines3.readthedocs.io/en/master/modules/dqn.html) with no extensions such as Double-DQN, Dueling-DQN, and Prioritized Experience Replay.\n",
"\n",
"❓ If you have questions, please post them on #study-group-unit3 discord channel 👉 https://discord.gg/aYka4Yhff9\n",
"\n",
"🎮 Environments: \n",