Variational Skill Embeddings for Meta Reinforcement Learning-Reference-Cited by-同舟云学术

Variational Skill Embeddings for Meta Reinforcement Learning

Published:2023-06-18 Issue: Volume: Page:
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Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Chien Jen-Tzung¹,Lai Weiwei¹

Affiliation:

1. Institute of Electrical and Computer Engineering, National Yang Ming Chiao Tung University,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191425.pdf?arnumber=10191425

Reference40 articles.

1. Diversity is all you need: learning skills without a reward function;eysenbach;Proc of International Conference on Learning Representations,2019

2. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;haarnoja;Proc of International Conference on Machine Learning,2018

3. Variational intrinsic control;gregor;Proc of International Conference on Learning Representations,2017

4. Categorical reparameterization with Gumbel-Softmax;jang;Proc of International Conference on Learning Representations,2017

5. ProMP: Proximal meta-policy search;rothfuss;Proc of International Conference on Learning Representations,2019

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