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ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments

ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments

11 April 2022
Yash Shukla
Christopher Thierauf
Ramtin Hosseini
Gyan Tatiya
Jivko Sinapov
ArXivPDFHTML

Papers citing "ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments"

12 / 12 papers shown
Title
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
123
79
0
13 Jan 2021
Automatic Curriculum Learning through Value Disagreement
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
65
107
0
17 Jun 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
229
474
0
10 Mar 2020
Sim2Real Transfer for Reinforcement Learning without Dynamics
  Randomization
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
M. Kaspar
J. D. M. Osorio
J. Bock
50
99
0
19 Feb 2020
An Optimization Framework for Task Sequencing in Curriculum Learning
An Optimization Framework for Task Sequencing in Curriculum Learning
Francesco Foglino
Christiano Coletto Christakou
Matteo Leonetti
47
18
0
31 Jan 2019
Domain Adaptation for Reinforcement Learning on the Atari
Domain Adaptation for Reinforcement Learning on the Atari
Thomas Carr
Maria Chli
George Vogiatzis
29
22
0
18 Dec 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
102
1,363
0
18 Oct 2017
Using Task Descriptions in Lifelong Machine Learning for Improved
  Performance and Zero-Shot Transfer
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer
David Isele
Mohammad Rostami
Eric Eaton
CLL
32
38
0
10 Oct 2017
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
Teacher-Student Curriculum Learning
Teacher-Student Curriculum Learning
Tambet Matiisen
Avital Oliver
Taco S. Cohen
John Schulman
ODL
88
377
0
01 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
247
2,963
0
20 Mar 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
62
337
0
15 Mar 2017
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