Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

[TMats]

https://arxiv.org/abs/1805.12114

• Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
• Submitted on 30 May 2018
• NIPS Data-Efficient Model-based Reinforcement Learning with Deep Probabilistic Dynamics Models
  • https://nips.cc/Conferences/2018/Schedule?showEvent=11467

[TMats]

プロジェクトページ

• https://sites.google.com/view/drl-in-a-handful-of-trials

[TMats]

1. どんなもの？

2. 先行研究と比べてどこがすごい？

3. 技術や手法のキモはどこ？

4. どうやって有効だと検証した？

5. 議論はある？

6. 次に読むべき論文は？

7. メモ