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2012.15566
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Robust Asymmetric Learning in POMDPs
International Conference on Machine Learning (ICML), 2020
31 December 2020
Andrew Warrington
J. Lavington
Adam Scibior
Mark Schmidt
Frank Wood
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Papers citing
"Robust Asymmetric Learning in POMDPs"
15 / 15 papers shown
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
Yuda Song
Dhruv Rohatgi
Aarti Singh
J. Andrew Bagnell
196
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0
03 Oct 2025
Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
Daniel Ebi
Gaspard Lambrechts
D. Ernst
Klemens Böhm
OffRL
357
0
0
30 Sep 2025
Multi-Agent Guided Policy Optimization
Yueheng Li
Guangming Xie
Zongqing Lu
269
2
0
24 Jul 2025
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
Neural Information Processing Systems (NeurIPS), 2024
Vahid Balazadeh Meresht
Keertana Chidambaram
Viet Nguyen
Fahad Razak
Vasilis Syrgkanis
492
2
0
10 Apr 2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
Feiyang Wu
Xavier Nal
Jaehwi Jang
Wei Zhu
Zhaoyuan Gu
Anqi Wu
Ye Zhao
462
0
0
09 Feb 2024
AgentMixer: Multi-Agent Correlated Policy Factorization
AAAI Conference on Artificial Intelligence (AAAI), 2024
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
Joni Pajarinen
OffRL
329
5
0
16 Jan 2024
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Idan Shenfeld
Zhang-Wei Hong
Aviv Tamar
Pulkit Agrawal
303
22
0
06 Jul 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts
Adrien Bolland
D. Ernst
381
13
0
20 Jun 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability
International Conference on Machine Learning (ICML), 2023
Jonathan Lee
Alekh Agarwal
Christoph Dann
Tong Zhang
364
25
0
31 Jan 2023
Leveraging Fully Observable Policies for Learning under Partial Observability
Conference on Robot Learning (CoRL), 2022
Hai V. Nguyen
Andrea Baisero
Dian Wang
Chris Amato
Robert Platt
OffRL
318
28
0
03 Nov 2022
Improved Policy Optimization for Online Imitation Learning
J. Lavington
Sharan Vaswani
Mark Schmidt
OffRL
325
7
0
29 Jul 2022
Hindsight Learning for MDPs with Exogenous Inputs
International Conference on Machine Learning (ICML), 2022
Sean R. Sinclair
Felipe Vieira Frujeri
Ching-An Cheng
Luke Marshall
Hugo Barbalho
Jingling Li
Jennifer Neville
Ishai Menache
Adith Swaminathan
332
31
0
13 Jul 2022
GridToPix: Training Embodied Agents with Minimal Supervision
IEEE International Conference on Computer Vision (ICCV), 2021
Unnat Jain
Iou-Jen Liu
Svetlana Lazebnik
Aniruddha Kembhavi
Luca Weihs
Alex Schwing
314
24
0
14 Apr 2021
Bridging the Imitation Gap by Adaptive Insubordination
Neural Information Processing Systems (NeurIPS), 2020
Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
483
41
0
23 Jul 2020
Planning as Inference in Epidemiological Models
Frontiers in Artificial Intelligence (FAI), 2020
Frank Wood
Andrew Warrington
Saeid Naderiparizi
Christian D. Weilbach
Vaden Masrani
...
Adam Scibior
Boyan Beronov
John Grefenstette
Duncan Campbell
Alireza Nasseri
514
6
0
30 Mar 2020
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