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Developing cooperative policies for multi-stage tasks

Developing cooperative policies for multi-stage tasks

1 July 2020
J. Erskine
Christopher F. Lehnert
ArXiv (abs)PDFHTML

Papers citing "Developing cooperative policies for multi-stage tasks"

13 / 13 papers shown
Title
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
152
2,453
0
13 Dec 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
230
1,284
0
30 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
102
812
0
21 May 2018
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
81
193
0
09 Apr 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
319
8,432
0
04 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
136
757
0
30 Oct 2017
Meta Learning Shared Hierarchies
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
68
355
0
26 Oct 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
99
189
0
07 Aug 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement
  Learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh
Satinder Singh
Honglak Lee
Pushmeet Kohli
OffRL
155
269
0
15 Jun 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
98
907
0
03 Mar 2017
Modular Multitask Reinforcement Learning with Policy Sketches
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas
Dan Klein
Sergey Levine
OffRL
179
463
0
06 Nov 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
71
1,089
0
16 Sep 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks
  with Delayed Rewards
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
S. Krishnan
Animesh Garg
Richard Liaw
Lauren Miller
Florian T. Pokorny
Ken Goldberg
69
40
0
21 Apr 2016
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