From ffd19903dc4f9a0336a5dc7adf626c182643fcb0 Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Tue, 9 Aug 2022 08:31:46 +0200 Subject: [PATCH] Update info about Double DQN thanks chase for the feedback --- unit3/unit3.ipynb | 2 ++ 1 file changed, 2 insertions(+) diff --git a/unit3/unit3.ipynb b/unit3/unit3.ipynb index 5999413..d353c5f 100644 --- a/unit3/unit3.ipynb +++ b/unit3/unit3.ipynb @@ -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",