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1912.04226
Cited By
Unsupervised Curricula for Visual Meta-Reinforcement Learning
9 December 2019
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLM
OOD
SSL
OffRL
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Papers citing
"Unsupervised Curricula for Visual Meta-Reinforcement Learning"
36 / 36 papers shown
Title
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski
Oliver Stanley
Joe Sharratt
Richard Jones
Abdulhakeem Adefioye
Jean Kaddour
Andreas Kopf
OffRL
LRM
61
1
0
30 May 2025
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
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
84
10
0
30 Oct 2023
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
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
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
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
Jiayu Chen
Yuanxin Zhang
Yuanfan Xu
Huimin Ma
Huazhong Yang
Jiaming Song
Yu Wang
Yi Wu
VLM
DRL
82
32
0
08 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
101
20
0
02 Nov 2021
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
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
85
19
0
25 Oct 2021
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
Daniel Seita
Abhinav Gopal
Zhao Mandi
John F. Canny
OffRL
OnRL
44
0
0
15 Sep 2021
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
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
Suyoung Lee
Sae-Young Chung
OffRL
AI4CE
73
16
0
28 May 2021
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
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
84
23
0
17 Mar 2021
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
OffRL
OnRL
83
26
0
24 Feb 2021
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
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
223
82
0
16 Jan 2021
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
Zohreh Raziei
Mohsen Moghaddam
77
25
0
27 Nov 2020
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
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
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
68
95
0
27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
OffRL
OnRL
101
160
0
26 Oct 2020
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
98
35
0
17 Jul 2020
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
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
94
127
0
22 Jun 2020
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
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
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
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
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
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
138
107
0
12 Jun 2018
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