Media Summary: This is Volodymyr Mnih's second talk of his lecture series, given at the A discussion on the Dueling Network Architectures for First time trying to record a paper talk. This covers ICML2020 paper "Sample Factory"
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Asynchronous Methods For Deep Reinforcement Learning Part 2 Machine Learning - Detailed Analysis

This is Volodymyr Mnih's second talk of his lecture series, given at the A discussion on the Dueling Network Architectures for First time trying to record a paper talk. This covers ICML2020 paper "Sample Factory" A discussion on the Rainbow: Combining Improvements in ... and bigger so that's pretty interesting we saw in To learn more about enrolling in the graduate course, visit: ...

The video shows an agent driving a racecar using only raw pixels as input. The agent was trained using the Explanatin of the Double DQN algorithm using pytorch. Repo:

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Asynchronous Methods for Deep Reinforcement Learning - Part #2. [Machine Learning]
Deep Reinforcement Learning Part 2 - Volodymyr Mnih - MLSS 2017
Asynchronous Methods for Deep Reinforcement Learning - Part #1. [Machine Learning]
Deep Reinforcement Learning with Double Q-Learning - Part #2. [Machine Learning]
Dueling Network Architectures for Deep Reinforcement Learning - Part #2. [Machine Learning]
Short Introduction to "Asynchronous Methods for Deep Reinforcement Learning" publication
Sample Factory: Asynchronous Reinforcement Learning at 100000+ FPS
Rainbow: Combining Improvements in Deep Reinforcement Learning - Part #2 [Machine Learning]
John Schulman 2: Deep Reinforcement Learning
Reinforcement Learning (Part II)
17. Reinforcement Learning, Part 2
CS 285: Lecture 19, Control as Inference, Part 2
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