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Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

10 March 2020
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
    ODL
ArXivPDFHTML

Papers citing "Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey"

50 / 239 papers shown
Title
Environment Design for Inverse Reinforcement Learning
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening
Victor Villin
Christos Dimitrakakis
30
1
0
26 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng
Danfei Xu
51
37
0
23 Oct 2022
Deep reinforcement learning oriented for real world dynamic scenarios
Deep reinforcement learning oriented for real world dynamic scenarios
Diego Martinez
L. Riazuelo
Luis Montano
17
1
0
20 Oct 2022
Co-Training an Observer and an Evading Target
Co-Training an Observer and an Evading Target
André Brandenburger
Folker Hoffmann
A. Charlish
30
1
0
20 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
Task Phasing: Automated Curriculum Learning from Demonstrations
Vaibhav Bajaj
Guni Sharon
Peter Stone
26
8
0
20 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
26
12
0
19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
38
24
0
18 Oct 2022
Visuo-Tactile Transformers for Manipulation
Visuo-Tactile Transformers for Manipulation
Yizhou Chen
A. Sipos
Mark Van der Merwe
Nima Fazeli
ViT
52
33
0
30 Sep 2022
Accelerating Laboratory Automation Through Robot Skill Learning For
  Sample Scraping
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
Gabriella Pizzuto
Hetong Wang
Hatem Fakhruldeen
Bei Peng
K. Luck
Andrew I. Cooper
28
2
0
29 Sep 2022
AutoCAT: Reinforcement Learning for Automated Exploration of
  Cache-Timing Attacks
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks
Mulong Luo
Wenjie Xiong
G. G. Lee
Yueying Li
Xiaomeng Yang
Amy Zhang
Yuandong Tian
Hsien-Hsin S. Lee
G. E. Suh
AAML
37
10
0
17 Aug 2022
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR
Georgios Karakasidis
Tamás Grósz
M. Kurimo
20
2
0
10 Aug 2022
Structural Similarity for Improved Transfer in Reinforcement Learning
Structural Similarity for Improved Transfer in Reinforcement Learning
C. Ashcraft
Ben Stoler
Chigozie Ewulum
S. Agarwala
20
1
0
27 Jul 2022
Towards the Neuroevolution of Low-level Artificial General Intelligence
Towards the Neuroevolution of Low-level Artificial General Intelligence
S. Pontes-Filho
K. Olsen
Anis Yazidi
Michael A. Riegler
P. Halvorsen
Stefano Nichele
AI4CE
22
3
0
27 Jul 2022
Semi-analytical Industrial Cooling System Model for Reinforcement
  Learning
Semi-analytical Industrial Cooling System Model for Reinforcement Learning
Yuri Chervonyi
Praneet Dutta
Piotr Trochim
Octavian Voicu
Cosmin Paduraru
...
Jared Quincy Davis
R. Chippendale
Gautam Bajaj
Sims Witherspoon
Jerry Luo
AI4CE
32
12
0
26 Jul 2022
Few-Shot Teamwork
Few-Shot Teamwork
Elliot Fosong
Arrasy Rahman
Ignacio Carlucho
Stefano V. Albrecht
12
4
0
19 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational
  Causal Reasoning
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding
Haohong Lin
Bo-wen Li
Ding Zhao
LRM
23
37
0
19 Jul 2022
A new hope for network model generalization
A new hope for network model generalization
Alexander Dietmüller
Siddhant Ray
Romain Jacob
Laurent Vanbever
AI4CE
29
38
0
12 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
41
13
0
11 Jul 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan
John M. Dolan
SSL
21
17
0
10 Jul 2022
An AlphaZero-Inspired Approach to Solving Search Problems
An AlphaZero-Inspired Approach to Solving Search Problems
E. Dantsin
V. Kreinovich
A. Wolpert
11
0
0
02 Jul 2022
Left Heavy Tails and the Effectiveness of the Policy and Value Networks
  in DNN-based best-first search for Sokoban Planning
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning
Dieqiao Feng
Carla P. Gomes
B. Selman
20
2
0
28 Jun 2022
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties
  in Open-World Environments
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Shivam Goel
Yash Shukla
Vasanth Sarathy
matthias. scheutz
Jivko Sinapov
31
15
0
24 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic
  Curriculum
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Junlin Wu
Yevgeniy Vorobeychik
16
21
0
21 Jun 2022
Achieving Goals using Reward Shaping and Curriculum Learning
Achieving Goals using Reward Shaping and Curriculum Learning
M. Anca
Jonathan D. Thomas
Dabal Pedamonti
M. Studley
Mark Hansen
4
1
0
06 Jun 2022
A Learning-Based Method for Automatic Operator Selection in the Fanoos
  XAI System
A Learning-Based Method for Automatic Operator Selection in the Fanoos XAI System
David Bayani
14
0
0
03 Jun 2022
A Deep Reinforcement Learning Framework For Column Generation
A Deep Reinforcement Learning Framework For Column Generation
Cheng Chi
A. Aboussalah
Elias Boutros Khalil
Juyoung Wang
Zoha Sherkat-Masoumi
13
26
0
03 Jun 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive
  Hierarchical Curriculum
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum
Lingfeng Tao
Jiucai Zhang
Xiaoli Zhang
38
5
0
26 May 2022
Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum
  Learning Study
Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
Kensuke Harada
23
1
0
27 Apr 2022
Social learning spontaneously emerges by searching optimal heuristics
  with deep reinforcement learning
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Seungwoong Ha
Hawoong Jeong
13
1
0
26 Apr 2022
Curriculum Learning for Goal-Oriented Semantic Communications with a
  Common Language
Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language
Mohammad Karimzadeh Farshbafan
Walid Saad
Merouane Debbah
26
30
0
21 Apr 2022
Learning to Transfer Role Assignment Across Team Sizes
Learning to Transfer Role Assignment Across Team Sizes
D. Nguyen
Phuoc Nguyen
Svetha Venkatesh
T. Tran
11
7
0
17 Apr 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with
  Application to Robotic Grasping
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping
Anil Kurkcu
C. Acar
D. Campolo
K. P. Tee
19
1
0
14 Apr 2022
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Yash Shukla
Christopher Thierauf
Ramtin Hosseini
Gyan Tatiya
Jivko Sinapov
19
9
0
11 Apr 2022
Assessing Evolutionary Terrain Generation Methods for Curriculum
  Reinforcement Learning
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning
David Howard
Josh Kannemeyer
Davide Dolcetti
Humphrey Munn
Nicole L. Robinson
28
5
0
29 Mar 2022
Dealing with Sparse Rewards Using Graph Neural Networks
Dealing with Sparse Rewards Using Graph Neural Networks
Matvey Gerasyov
Ilya Makarov
8
2
0
25 Mar 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
15
7
0
16 Mar 2022
Self-Supervised Learning for Joint Pushing and Grasping Policies in
  Highly Cluttered Environments
Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang
Kamal Mokhtar
C. Heemskerk
H. Kasaei
SSL
13
8
0
04 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
13
15
0
23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
34
9
0
23 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
Understanding Curriculum Learning in Policy Optimization for Online
  Combinatorial Optimization
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Runlong Zhou
Zelin He
Yuandong Tian
Yi Wu
S. Du
OffRL
18
3
0
11 Feb 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
33
17
0
31 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
28
73
0
11 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Towards Disturbance-Free Visual Mobile Manipulation
Towards Disturbance-Free Visual Mobile Manipulation
Tianwei Ni
Kiana Ehsani
Luca Weihs
Jordi Salvador
21
9
0
17 Dec 2021
Curriculum learning for data-driven modeling of dynamical systems
Curriculum learning for data-driven modeling of dynamical systems
Alessandro Bucci
Onofrio Semeraro
A. Allauzen
S. Chibbaro
L. Mathelin
PINN
AI4CE
24
7
0
15 Dec 2021
Do Data-based Curricula Work?
Do Data-based Curricula Work?
Maxim K. Surkov
Vladislav D. Mosin
Ivan P. Yamshchikov
12
4
0
13 Dec 2021
Application of Deep Reinforcement Learning to Payment Fraud
Application of Deep Reinforcement Learning to Payment Fraud
Siddharth Vimal
Kanishka Kayathwal
H. Wadhwa
Gaurav Dhama
AAML
OffRL
17
8
0
08 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Edward W. Staley
C. Ashcraft
Ben Stoler
Jared Markowitz
Gautam K. Vallabha
Christopher R. Ratto
Kapil D. Katyal
6
6
0
01 Dec 2021
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