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Disentangled Skill Embeddings for Reinforcement Learning

Disentangled Skill Embeddings for Reinforcement Learning

21 June 2019
Janith C. Petangoda
Sergio Pascual-Diaz
Vincent Adam
Peter Vrancx
Jordi Grau-Moya
    DRL
    OffRL
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Papers citing "Disentangled Skill Embeddings for Reinforcement Learning"

5 / 5 papers shown
Title
Variational Inference for Model-Free and Model-Based Reinforcement
  Learning
Variational Inference for Model-Free and Model-Based Reinforcement Learning
Felix Leibfried
OffRL
23
0
0
04 Sep 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in
  Reinforcement Learning
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
32
19
0
25 Oct 2021
On the relationship between disentanglement and multi-task learning
On the relationship between disentanglement and multi-task learning
Lukasz Maziarka
A. Nowak
Maciej Wołczyk
Andrzej Bedychaj
OOD
DRL
27
3
0
07 Oct 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference
A Tutorial on Sparse Gaussian Processes and Variational Inference
Felix Leibfried
Vincent Dutordoir
S. T. John
N. Durrande
GP
42
49
0
27 Dec 2020
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