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DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical
  Reinforcement Learning

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning

11 October 2022
Seungjae Lee
Jigang Kim
Inkyu Jang
H. J. Kim
    OffRL
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Papers citing "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning"

3 / 3 papers shown
Title
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
21
0
0
12 Oct 2024
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
Michał Zawalski
Gracjan Góral
Michał Tyrolski
Emilia Wisnios
Franciszek Budrowski
Marek Cygan
Łukasz Kuciński
Piotr Miłoś
34
0
0
05 Jun 2024
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
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