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Hierarchical Reinforcement Learning with Hindsight

21 May 2018
Andrew Levy
Robert W. Platt
Kate Saenko
ArXivPDFHTML

Papers citing "Hierarchical Reinforcement Learning with Hindsight"

15 / 15 papers shown
Title
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
Meng Feng
Viraj Parimi
B. Williams
77
1
0
25 Feb 2025
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
34
35
0
19 Sep 2022
Reinforcement Learning with Intrinsic Affinity for Personalized
  Prosperity Management
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management
Charl Maree
C. Omlin
35
1
0
20 Apr 2022
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRL
LM&Ro
38
24
0
21 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning
Context-Specific Representation Abstraction for Deep Option Learning
Marwa Abdulhai
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Gerald Tesauro
Jonathan P. How
OffRL
31
9
0
20 Sep 2021
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
Deepali Jain
Atil Iscen
Ken Caluwaerts
26
35
0
23 Nov 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning
  with Intrinsic-Extrinsic Modeling
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
Xin Ye
Yezhou Yang
22
14
0
16 Oct 2020
Hindsight Trust Region Policy Optimization
Hindsight Trust Region Policy Optimization
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
32
8
0
29 Jul 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
21
71
0
13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
29
285
0
12 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
36
41
0
30 May 2019
Hierarchical Reinforcement Learning for Quadruped Locomotion
Hierarchical Reinforcement Learning for Quadruped Locomotion
Deepali Jain
Atil Iscen
Ken Caluwaerts
21
53
0
22 May 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRL
OffRL
SSL
38
172
0
28 Nov 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement
  Learning
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
25
39
0
15 Oct 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
16
72
0
13 Mar 2018
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