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Attention-based Curiosity-driven Exploration in Deep Reinforcement
  Learning

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
23 October 2019
Patrik Reizinger
Marton Szemenyei
ArXiv (abs)PDFHTMLGithub (27★)

Papers citing "Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning"

4 / 4 papers shown
Title
Replication of Multi-agent Reinforcement Learning for the "Hide and
  Seek" Problem
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
Haider Kamal
M. Niazi
Hammad Afzal
233
0
0
09 Oct 2023
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical
  Multi-Step Approach for Policy Training
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy TrainingInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Gang Chen
Victoria Huang
OffRL
288
1
0
29 Sep 2022
Learning Rhetorical Structure Theory-based descriptions of observed
  behaviour
Learning Rhetorical Structure Theory-based descriptions of observed behaviour
L. Botelho
Luís Nunes
Ricardo Ribeiro
Rui J. Lopes
52
0
0
24 Jun 2022
Policy Augmentation: An Exploration Strategy for Faster Convergence of
  Deep Reinforcement Learning Algorithms
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning AlgorithmsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
A. Mahyari
98
1
0
10 Feb 2021
1