ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.09083
  4. Cited By
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement
  Learning

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

22 November 2018
Sainbayar Sukhbaatar
Emily L. Denton
Arthur Szlam
Rob Fergus
    SSL
ArXivPDFHTML

Papers citing "Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning"

13 / 13 papers shown
Title
CORD: Generalizable Cooperation via Role Diversity
CORD: Generalizable Cooperation via Role Diversity
Kanefumi Matsuyama
Kefan Su
Jiangxing Wang
Deheng Ye
Zongqing Lu
80
0
0
04 Jan 2025
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
71
193
0
09 Apr 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal
  Exploration
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré
Sébastien Forestier
Olivier Sigaud
Pierre-Yves Oudeyer
SSL
DRL
48
95
0
02 Mar 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
99
1,085
0
16 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
496
19,019
0
20 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
69
444
0
17 Jul 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar
Zeming Lin
Ilya Kostrikov
Gabriel Synnaeve
Arthur Szlam
Rob Fergus
SSL
67
337
0
15 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
84
905
0
03 Mar 2017
Variational Intrinsic Control
Variational Intrinsic Control
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRL
OffRL
78
428
0
22 Nov 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
64
1,087
0
16 Sep 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
79
1,694
0
22 Apr 2016
MazeBase: A Sandbox for Learning from Games
MazeBase: A Sandbox for Learning from Games
Sainbayar Sukhbaatar
Arthur Szlam
Gabriel Synnaeve
Soumith Chintala
Rob Fergus
59
80
0
23 Nov 2015
Variational Information Maximisation for Intrinsically Motivated
  Reinforcement Learning
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S. Mohamed
Danilo Jimenez Rezende
DRL
SSL
97
402
0
29 Sep 2015
1