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MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
15 July 2021
Kevin Wenliang Li
Abhishek Gupta
Ashwin Reddy
Vitchyr H. Pong
Aurick Zhou
Justin Yu
Sergey Levine
UQCV
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Papers citing
"MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning"
21 / 21 papers shown
Elements of Active Continuous Learning and Uncertainty Self-Awareness: a Narrow Implementation for Face and Facial Expression Recognition
Artificial General Intelligence (AGI), 2025
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04 Nov 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
ACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
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6
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04 May 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
AAAI Conference on Artificial Intelligence (AAAI), 2025
Mohit Prashant
Arvind Easwaran
Suman Das
Michael Yuhas
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292
5
0
07 Mar 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
International Conference on Learning Representations (ICLR), 2025
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
434
9
0
04 Feb 2025
COME: Test-time adaption by Conservatively Minimizing Entropy
International Conference on Learning Representations (ICLR), 2024
Qingyang Zhang
Yatao Bian
Xinke Kong
Peilin Zhao
Changqing Zhang
OOD
TTA
833
13
0
12 Oct 2024
FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning
Jia Zou
Xiaokai Zhang
Yiming He
Yang Li
Tuo Leng
AIMat
AI4CE
LRM
224
5
0
14 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
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621
94
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29 Jan 2024
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories
Neural Information Processing Systems (NeurIPS), 2023
Kai Yan
Alex Schwing
Yu-Xiong Wang
OffRL
274
6
0
02 Nov 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Neural Information Processing Systems (NeurIPS), 2023
Daesol Cho
Seungjae Lee
H. J. Kim
OODD
283
4
0
30 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Neural Information Processing Systems (NeurIPS), 2023
Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
221
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26 Oct 2023
Contrastive Example-Based Control
Conference on Learning for Dynamics & Control (L4DC), 2023
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
298
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24 Jul 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
Neural Information Processing Systems (NeurIPS), 2023
Jialu Gao
Kaizhe Hu
Guowei Xu
Huazhe Xu
LM&Ro
196
21
0
15 Jul 2023
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
198
4
0
09 Apr 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation
International Conference on Learning Representations (ICLR), 2023
Daesol Cho
Seungjae Lee
H. J. Kim
419
17
0
27 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
IEEE International Conference on Robotics and Automation (ICRA), 2022
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
171
30
0
19 Dec 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Neural Information Processing Systems (NeurIPS), 2022
Abhishek Gupta
Aldo Pacchiano
Yuexiang Zhai
Sham Kakade
Sergey Levine
OffRL
219
94
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18 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Neural Information Processing Systems (NeurIPS), 2022
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
268
46
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19 Sep 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
364
554
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13 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Chenyu Sun
Hangwei Qian
Chunyan Miao
OffRL
242
12
0
02 May 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Neural Information Processing Systems (NeurIPS), 2022
Robert Meier
Asier Mujika
290
7
0
16 Feb 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
Chenyu Sun
Hangwei Qian
Chunyan Miao
229
14
0
20 Jan 2022
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