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Asymmetric self-play for automatic goal discovery in robotic
  manipulation

Asymmetric self-play for automatic goal discovery in robotic manipulation

13 January 2021
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
V. Kosaraju
Peter Welinder
Ruben D'Sa
Arthur Petron
Henrique Pondé de Oliveira Pinto
Alex Paino
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
    SSL
ArXivPDFHTML

Papers citing "Asymmetric self-play for automatic goal discovery in robotic manipulation"

22 / 22 papers shown
Title
AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks
AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks
Ilyas Oulkadda
Julien Perez
ALM
42
0
0
05 May 2025
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z. Leibo
GNN
31
28
0
22 May 2024
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
35
108
0
18 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
41
18
0
05 Jan 2023
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R. Sanketi
Corey Lynch
47
20
0
07 Oct 2022
Query The Agent: Improving sample efficiency through epistemic
  uncertainty estimation
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
32
0
0
05 Oct 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
32
3
0
28 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
Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
Alahari Karteek
29
4
0
23 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
23
323
0
02 May 2022
Learning Design and Construction with Varying-Sized Materials via
  Prioritized Memory Resets
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li
Tao Kong
Lei Li
Yi Wu
43
4
0
12 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
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
27
25
0
15 Mar 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
116
0
02 Mar 2022
Look Closer: Bridging Egocentric and Third-Person Views with
  Transformers for Robotic Manipulation
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir
Nicklas Hansen
Sambaran Ghosal
Mohit Jain
Xiaolong Wang
24
65
0
19 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
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
129
95
0
06 Oct 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from
  Curious Exploration
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
Oliver Groth
Markus Wulfmeier
Giulia Vezzani
Vibhavari Dasagi
Tim Hertweck
Roland Hafner
N. Heess
Martin Riedmiller
LRM
35
20
0
17 Sep 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale
  Demonstrations
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu
Z. Ling
Fanbo Xiang
Derek Yang
Xuanlin Li
Stone Tao
Zhiao Huang
Zhiwei Jia
Hao Su
39
130
0
30 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
26
181
0
27 Jul 2021
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
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