Hierarchical Learning with Hindsight (ICLR 19)
Agents master diverse tasks using HAC and HierQ algorithms for continuous and discrete challenges. 🤖
Andrew Levy
2.7K views • Mar 1, 2019
About this video
Agents learn to solve various continuous and discrete tasks using the Hierarchical Actor-Critic (HAC) and Hierarchical Q-Learning (HierQ) algorithms, respectively. These algorithms help agents break down long tasks into shorter tasks, enabling agents to learn tasks more quickly.
ICLR 2019 Paper: https://openreview.net/pdf?id=ryzECoAcY7
Blog Post: http://bigai.cs.brown.edu/2019/09/03/hac.html
GitHub Repo: https://github.com/andrew-j-levy/Hierarchical-Actor-Critc-HAC-
ICLR 2019 Paper: https://openreview.net/pdf?id=ryzECoAcY7
Blog Post: http://bigai.cs.brown.edu/2019/09/03/hac.html
GitHub Repo: https://github.com/andrew-j-levy/Hierarchical-Actor-Critc-HAC-
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Views
2.7K
Likes
41
Duration
4:53
Published
Mar 1, 2019
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4.5
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