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CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

19 October 2021
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
    OffRL
ArXivPDFHTML

Papers citing "CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents"

50 / 67 papers shown
Title
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
112
0
0
19 Dec 2024
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution
  Engine
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Jiayi Weng
Min Lin
Shengyi Huang
Bo Liu
Denys Makoviichuk
...
Yufan Song
Ting Luo
Yukun Jiang
Zhongwen Xu
Shuicheng Yan
MoE
28
61
0
21 Jun 2022
Avalanche RL: a Continual Reinforcement Learning Library
Avalanche RL: a Continual Reinforcement Learning Library
Nicolo Lucchesi
Antonio Carta
Vincenzo Lomonaco
Davide Bacciu
46
6
0
28 Feb 2022
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
262
89
0
27 Sep 2021
Wanderlust: Online Continual Object Detection in the Real World
Wanderlust: Online Continual Object Detection in the Real World
Jianren Wang
Xin Wang
Shang-Guan Yue
Abhinav Gupta
45
57
0
25 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
34
20
0
02 Aug 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
329
110
0
13 Jul 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot
Alexander Clegg
Eric Undersander
Erik Wijmans
Yili Zhao
...
Z. Kira
V. Koltun
Jitendra Malik
Manolis Savva
Dhruv Batra
LM&Ro
60
507
0
28 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
44
90
0
23 May 2021
ManipulaTHOR: A Framework for Visual Object Manipulation
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani
Winson Han
Alvaro Herrasti
Eli VanderBilt
Luca Weihs
Eric Kolve
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
200
127
0
22 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
53
182
0
01 Apr 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Aaron Courville
Sarath Chandar
CLL
OffRL
45
40
0
04 Mar 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning
  using Human Priors
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss
Cayden R. Codel
Katja Hofmann
Brandon Houghton
Noburu Kuno
...
John Schulman
Manuela Veloso
Nicholay Topin
Avinash Ummadisingu
Phillip Wang
OffRL
35
64
0
26 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
57
412
0
25 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
75
315
0
25 Dec 2020
Rearrangement: A Challenge for Embodied AI
Rearrangement: A Challenge for Embodied AI
Dhruv Batra
Angel X. Chang
Sonia Chernova
Andrew J. Davison
Jia Deng
...
Jitendra Malik
Igor Mordatch
Roozbeh Mottaghi
Manolis Savva
Hao Su
LM&Ro
58
217
0
03 Nov 2020
Prioritized Level Replay
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
26
154
0
08 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
142
436
0
25 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
42
147
0
03 Sep 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan
Jeremy Schwartz
S. Alter
Damian Mrowca
Martin Schrimpf
...
Antonio Torralba
J. DiCarlo
J. Tenenbaum
Josh H. McDermott
Daniel L. K. Yamins
VGen
110
308
0
09 Jul 2020
The NetHack Learning Environment
The NetHack Learning Environment
Heinrich Küttler
Nantas Nardelli
Alexander H. Miller
Roberta Raileanu
Marco Selvatici
Edward Grefenstette
Tim Rocktaschel
45
179
0
24 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
42
87
0
10 Jun 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
SAPIEN: A SimulAted Part-based Interactive ENvironment
Fanbo Xiang
Yuzhe Qin
Kaichun Mo
Yikuan Xia
Hao Zhu
...
He Wang
Li Yi
Angel X. Chang
Leonidas Guibas
Hao Su
230
493
0
19 Mar 2020
Jelly Bean World: A Testbed for Never-Ending Learning
Jelly Bean World: A Testbed for Never-Ending Learning
Emmanouil Antonios Platanios
Abulhair Saparov
Tom Michael Mitchell
VLM
69
23
0
15 Feb 2020
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday
  Tasks
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar
Jesse Thomason
Daniel Gordon
Yonatan Bisk
Winson Han
Roozbeh Mottaghi
Luke Zettlemoyer
Dieter Fox
LM&Ro
70
758
0
03 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
52
549
0
03 Dec 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
43
122
0
17 Nov 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and
  Reinforcement Learning
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
35
429
0
25 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
174
1,145
0
24 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL
TorchBeast: A PyTorch Platform for Distributed RL
Heinrich Küttler
Nantas Nardelli
Thibaut Lavril
Marco Selvatici
V. Sivakumar
Tim Rocktaschel
Edward Grefenstette
OffRL
29
58
0
08 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
82
537
0
26 Sep 2019
Behaviour Suite for Reinforcement Learning
Behaviour Suite for Reinforcement Learning
Ian Osband
Yotam Doron
Matteo Hessel
John Aslanides
Eren Sezener
...
Satinder Singh
Benjamin Van Roy
R. Sutton
David Silver
H. V. Hasselt
OffRL
39
179
0
09 Aug 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELM
CLL
45
318
0
29 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco
Karan Desai
Eugenio Culurciello
Davide Maltoni
OffRL
25
41
0
24 May 2019
Habitat: A Platform for Embodied AI Research
Habitat: A Platform for Embodied AI Research
Manolis Savva
Abhishek Kadian
Oleksandr Maksymets
Yili Zhao
Erik Wijmans
...
Jia-Wei Liu
V. Koltun
Jitendra Malik
Devi Parikh
Dhruv Batra
LM&Ro
70
1,390
0
02 Apr 2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented
  Learning
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Xiaofeng Gao
Ran Gong
Tianmin Shu
Xu Xie
Shu Wang
Song-Chun Zhu
34
61
0
13 Mar 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and
  Planning
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani
Ahmed Khalifa
Vincent-Pierre Berges
Jonathan Harper
Ervin Teng
Hunter Henry
A. Crespi
Julian Togelius
Danny Lange
29
143
0
04 Feb 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
59
1,127
0
28 Nov 2018
Environments for Lifelong Reinforcement Learning
Environments for Lifelong Reinforcement Learning
Khimya Khetarpal
Shagun Sodhani
A. Chandar
Doina Precup
OffRL
CLL
23
8
0
26 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual
  Learning
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz Rodríguez
Vincenzo Lomonaco
David Filliat
Davide Maltoni
CLL
28
160
0
31 Oct 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
39
353
0
30 Oct 2018
Generalization and Regularization in DQN
Generalization and Regularization in DQN
Jesse Farebrother
Marlos C. Machado
Michael Bowling
51
205
0
29 Sep 2018
VirtualHome: Simulating Household Activities via Programs
VirtualHome: Simulating Household Activities via Programs
Xavier Puig
K. Ra
Marko Boben
Jiaman Li
Tingwu Wang
Sanja Fidler
Antonio Torralba
LM&Ro
62
483
0
19 Jun 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
91
877
0
16 May 2018
A Study on Overfitting in Deep Reinforcement Learning
A Study on Overfitting in Deep Reinforcement Learning
Chiyuan Zhang
Oriol Vinyals
Rémi Munos
Samy Bengio
OffRL
OnRL
39
386
0
18 Apr 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
58
454
0
28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
...
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
44
562
0
26 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
109
2,854
0
21 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
133
1,584
0
05 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
58
1,130
0
30 Jan 2018
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