Introduction to Udacity Deep Reinforcement Learning Nanodegree Project1
Let's dive into the details surrounding Udacity Deep Reinforcement Learning Nanodegree Project1. Learn more at https://www.
Udacity Deep Reinforcement Learning Nanodegree Project1 Comprehensive Overview
The video is prepared for navigation project and to show the difference between training and randomness. Agent trained to fetch the yellow bananas and avoid the blue ones, using the DQN algorithm discussed in this paper. Details at: https://github.com/amiravni/UDACITY_DRL_P1.
Code + Explanation : https://github.com/antoniopenta/deep_reinforcement_learning/tree/master/drl_navigation.
Summary & Highlights for Udacity Deep Reinforcement Learning Nanodegree Project1
- For DRL
- Udacity Deep Reinforcement Learning Nanodegree - Navigation
- DRL - Multi-Agent DDPG Algorithm - Tennis Collaboration Using the Unity agent/environment "Tennis", this
- Dueling double
- Deep Reinforcement Learning
That wraps up our extensive overview of Udacity Deep Reinforcement Learning Nanodegree Project1.
