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Unsupervised Curricula for Visual Meta-Reinforcement Learning

Unsupervised Curricula for Visual Meta-Reinforcement Learning

9 December 2019
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
    VLMOODSSLOffRL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Curricula for Visual Meta-Reinforcement Learning"

36 / 36 papers shown
Title
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski
Oliver Stanley
Joe Sharratt
Richard Jones
Abdulhakeem Adefioye
Jean Kaddour
Andreas Kopf
OffRLLRM
61
1
0
30 May 2025
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Kanghyun Ryu
Qiayuan Liao
Zhongyu Li
Koushil Sreenath
Negar Mehr
Negar Mehr
LM&Ro
358
4
0
27 Sep 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSLDRL
84
10
0
30 Oct 2023
Distributionally Adaptive Meta Reinforcement Learning
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
OOD
88
14
0
06 Oct 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Rule Mining over Knowledge Graphs via Reinforcement Learning
Lihan Chen
Sihang Jiang
Jingping Liu
Chao Wang
Shenmin Zhang
Chenhao Xie
Jiaqing Liang
Yanghua Xiao
Rui Song
66
20
0
21 Feb 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and
  Generalization Guarantees
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
105
46
0
20 Jan 2022
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
71
17
0
02 Dec 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative
  Multi-Agent Problems
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen
Yuanxin Zhang
Yuanfan Xu
Huimin Ma
Huazhong Yang
Jiaming Song
Yu Wang
Yi Wu
VLMDRL
82
32
0
08 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSLOOD
101
20
0
02 Nov 2021
Meta-learning with an Adaptive Task Scheduler
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
84
48
0
26 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in
  Reinforcement Learning
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
85
19
0
25 Oct 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
216
102
0
06 Oct 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement
  Learning
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning
Daniel Seita
Abhinav Gopal
Zhao Mandi
John F. Canny
OffRLOnRL
44
0
0
15 Sep 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
128
190
0
27 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
152
67
0
08 Jul 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent
  Dynamics Mixture
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee
Sae-Young Chung
OffRLAI4CE
73
16
0
28 May 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep
  Reinforcement Learning
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
Jinxin Liu
Donglin Wang
Qiangxing Tian
Zhengyu Chen
92
23
0
11 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
84
23
0
17 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRLOnRL
83
26
0
24 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
158
535
0
04 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
223
82
0
16 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
81
40
0
15 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
77
25
0
27 Nov 2020
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
66
8
0
16 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
Information-theoretic Task Selection for Meta-Reinforcement Learning
Ricardo Luna Gutierrez
Matteo Leonetti
74
18
0
02 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
68
95
0
27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement
  Learning
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
OffRLOnRL
101
160
0
26 Oct 2020
Probabilistic Active Meta-Learning
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
98
35
0
17 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
78
26
0
01 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
94
127
0
22 Jun 2020
Meta-Model-Based Meta-Policy Optimization
Meta-Model-Based Meta-Policy Optimization
Takuya Hiraoka
Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
93
8
0
04 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
418
2,003
0
11 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
95
20
0
29 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
114
176
0
10 Mar 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering
  Skills
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
101
156
0
10 Feb 2020
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
138
107
0
12 Jun 2018
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