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OPEn: An Open-ended Physics Environment for Learning Without a Task

OPEn: An Open-ended Physics Environment for Learning Without a Task

13 October 2021
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
    LRM
ArXiv (abs)PDFHTML

Papers citing "OPEn: An Open-ended Physics Environment for Learning Without a Task"

38 / 38 papers shown
Title
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable
  Physics
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang
Yuanming Hu
Tao Du
Siyuan Zhou
Hao Su
J. Tenenbaum
Chuang Gan
AI4CE
80
133
0
07 Apr 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual
  Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Zhenfang Chen
Jiayuan Mao
Jiajun Wu
Kwan-Yee K. Wong
J. Tenenbaum
Chuang Gan
VGen
96
94
0
30 Mar 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion
  Planning Benchmark for Physically Realistic Embodied AI
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Chuang Gan
Siyuan Zhou
Jeremy Schwartz
S. Alter
Abhishek Bhandwaldar
...
Daniel L. K. Yamins
J. DiCarlo
Josh H. McDermott
Antonio Torralba
J. Tenenbaum
LM&Ro
113
81
0
25 Mar 2021
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
173
317
0
09 Jul 2020
Planning to Explore via Self-Supervised World Models
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
88
412
0
12 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
118
660
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
129
793
0
28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSLDRLOffRL
126
1,093
0
08 Apr 2020
Use the Force, Luke! Learning to Predict Physical Forces by Simulating
  Effects
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
Kiana Ehsani
Shubham Tulsiani
Saurabh Gupta
Ali Farhadi
Abhinav Gupta
84
53
0
26 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated
  Environments
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu
Tim Rocktaschel
86
174
0
27 Feb 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
92
557
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
225
12,147
0
13 Nov 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
274
1,182
0
24 Oct 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
121
1,234
0
16 Oct 2019
CATER: A diagnostic dataset for Compositional Actions and TEmporal
  Reasoning
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Rohit Girdhar
Deva Ramanan
106
178
0
10 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
138
475
0
03 Oct 2019
CoPhy: Counterfactual Learning of Physical Dynamics
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel
Natalia Neverova
J. Mille
Greg Mori
Christian Wolf
CMLAI4CE
120
97
0
26 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
68
658
0
17 Sep 2019
The Animal-AI Environment: Training and Testing Animal-Like Artificial
  Cognition
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition
Benjamin Beyret
José Hernández-Orallo
Lucy G. Cheke
Marta Halina
Murray Shanahan
Matthew Crosby
70
35
0
12 Sep 2019
Neural Re-Simulation for Generating Bounces in Single Images
Neural Re-Simulation for Generating Bounces in Single Images
Carlo Innamorati
Bryan C. Russell
D. Kaufman
and Niloy J. Mitra
VGen
111
12
0
17 Aug 2019
PHYRE: A New Benchmark for Physical Reasoning
PHYRE: A New Benchmark for Physical Reasoning
A. Bakhtin
Laurens van der Maaten
Justin Johnson
Laura Gustafson
Ross B. Girshick
LRM
71
129
0
15 Aug 2019
Neural MMO: A Massively Multiagent Game Environment for Training and
  Evaluating Intelligent Agents
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
77
71
0
02 Mar 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
166
870
0
01 Mar 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly
  Complex and Diverse Learning Environments and Their Solutions
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang
Joel Lehman
Jeff Clune
Kenneth O. Stanley
115
250
0
07 Jan 2019
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
161
1,345
0
30 Oct 2018
IntPhys: A Framework and Benchmark for Visual Intuitive Physics
  Reasoning
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
Ronan Riochet
M. Castro
Mathieu Bernard
Adam Lerer
Rob Fergus
Véronique Izard
Emmanuel Dupoux
87
78
0
20 Mar 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
94
120
0
21 Feb 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
108
977
0
08 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
604
19,318
0
20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
135
2,453
0
15 May 2017
Recurrent Environment Simulators
Recurrent Environment Simulators
Silvia Chiappa
S. Racanière
Daan Wierstra
S. Mohamed
85
211
0
07 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
849
11,971
0
09 Mar 2017
A Deep Learning Approach for Joint Video Frame and Reward Prediction in
  Atari Games
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Felix Leibfried
Nate Kushman
Katja Hofmann
164
43
0
21 Nov 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
84
565
0
23 Jun 2016
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
117
855
0
31 Jul 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,661
0
01 Sep 2014
Robots that can adapt like animals
Robots that can adapt like animals
Antoine Cully
Jeff Clune
Danesh Tarapore
Jean-Baptiste Mouret
121
1,038
0
13 Jul 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
122
3,025
0
19 Jul 2012
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