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FeUdal Networks for Hierarchical Reinforcement Learning

FeUdal Networks for Hierarchical Reinforcement Learning

3 March 2017
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
    FedML
ArXivPDFHTML

Papers citing "FeUdal Networks for Hierarchical Reinforcement Learning"

26 / 26 papers shown
Title
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution
Jiawei Du
Jinlong Wu
Yuzheng Chen
Yucheng Hu
Bing Li
Joey Tianyi Zhou
27
0
0
23 May 2025
Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots
Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots
Brendon Johnson
Alfredo Weitzenfeld
66
1
0
26 Apr 2025
MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress
MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress
Kai Gao
Fan Wang
Erica Aduh
Dylan Randle
Jane Shi
70
0
0
04 Feb 2025
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
Utsav Singh
Souradip Chakraborty
Wesley A Suttle
Brian M. Sadler
Vinay P. Namboodiri
Amrit Singh Bedi
OffRL
66
0
0
03 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
95
0
0
23 Oct 2024
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
Kuo-Han Hung
Pang-Chi Lo
Jia-Fong Yeh
Han-Yuan Hsu
Yi-Ting Chen
Winston H. Hsu
56
0
0
26 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
101
49
0
23 May 2024
A Landmark-Aware Visual Navigation Dataset
A Landmark-Aware Visual Navigation Dataset
Faith Johnson
Bryan Bo Cao
Kristin J. Dana
Shubham Jain
Ashwin Ashok
3DV
45
0
0
22 Feb 2024
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
78
11
0
28 Aug 2023
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Faith Johnson
Kristin J. Dana
LLMSV
32
11
0
11 Jun 2020
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement
  Learning
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
31
92
0
18 May 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
22
1,225
0
16 Nov 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
28
1,076
0
16 Sep 2016
Strategic Attentive Writer for Learning Macro-Actions
Strategic Attentive Writer for Learning Macro-Actions
Alexander
A. Vezhnevets
Volodymyr Mnih
J. Agapiou
Simon Osindero
Alex Graves
Oriol Vinyals
Koray Kavukcuoglu
25
171
0
15 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
136
1,465
0
06 Jun 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
97
378
0
25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
32
1,130
0
20 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
134
8,805
0
04 Feb 2016
Increasing the Action Gap: New Operators for Reinforcement Learning
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare
Georg Ostrovski
A. Guez
Philip S. Thomas
Rémi Munos
21
156
0
15 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
105
8,421
0
23 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
97
13,174
0
09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
20
3,368
0
08 Jun 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
136
3,418
0
02 Apr 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
206
6,722
0
19 Feb 2015
A Clockwork RNN
A Clockwork RNN
Jan Koutník
Klaus Greff
Faustino J. Gomez
Jürgen Schmidhuber
26
498
0
14 Feb 2014
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
38
2,989
0
19 Jul 2012
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