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2002.10544
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Provable Representation Learning for Imitation Learning via Bi-level Optimization
International Conference on Machine Learning (ICML), 2020
24 February 2020
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
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Papers citing
"Provable Representation Learning for Imitation Learning via Bi-level Optimization"
40 / 40 papers shown
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
Renjie Luo
Zichen Liu
Xiangyan Liu
Chao Du
Min Lin
Wenhu Chen
Wei Lu
Tianyu Pang
OffRL
215
9
0
26 Sep 2025
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process
Rui Lu
Yang Yue
Andrew Zhao
S. Du
Gao Huang
OffRL
348
1
0
01 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
Volkan Cevher
758
3
0
27 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
International Conference on Machine Learning (ICML), 2024
Jiabin Lin
Shana Moothedath
Namrata Vaswani
479
8
0
08 Jan 2025
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
International Conference on Machine Learning (ICML), 2024
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CML
OOD
505
2
0
15 Oct 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
International Conference on Machine Learning (ICML), 2024
Donghu Kim
Hojoon Lee
Kyungmin Lee
Dongyoon Hwang
Jaegul Choo
OffRL
289
3
0
10 Jun 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
380
1
0
18 May 2024
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
Boao Kong
Shuchen Zhu
Songtao Lu
Xinmeng Huang
Kun Yuan
476
0
0
05 Feb 2024
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning
Bryan Chan
Karime Pereida
James Bergstra
306
1
0
02 Nov 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Hongyu Zang
Xin-hui Li
Leiji Zhang
Yang Liu
Baigui Sun
Riashat Islam
Rémi Tachet des Combes
Romain Laroche
OffRL
272
13
0
26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan Cheng
Jing Yang
Vincent Tan
Yingbin Liang
285
0
0
20 Oct 2023
Federated Multi-Level Optimization over Decentralized Networks
Shuoguang Yang
Xuezhou Zhang
Mengdi Wang
AI4CE
239
0
0
10 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen
Junyin Ye
Hang Zhao
Yi-Chen Li
Haoran Shi
...
Si-Hang Yang
Anqi Huang
Kai Xu
Zongzhang Zhang
Yang Yu
255
0
0
09 Oct 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
European Conference on Artificial Intelligence (ECAI), 2023
Junyi Wang
Yuanyang Zhu
Zhi Wang
Yan Zheng
Jianye Hao
Chun-Han Chen
OffRL
172
1
0
01 Aug 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition
Quan-Wu Xiao
Songtao Lu
Tianyi Chen
470
5
0
04 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
341
0
0
02 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
Neural Information Processing Systems (NeurIPS), 2023
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
329
28
0
26 May 2023
Aligning Robot and Human Representations
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
388
24
0
03 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Conference on Learning for Dynamics & Control (L4DC), 2022
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
466
30
0
01 Dec 2022
Behavior Prior Representation learning for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Hongyu Zang
Xin Li
Jie Yu
Chen Liu
Riashat Islam
Rémi Tachet des Combes
Romain Laroche
OffRL
OnRL
386
12
0
02 Nov 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Neural Information Processing Systems (NeurIPS), 2022
Shuoguang Yang
Xuezhou Zhang
Mengdi Wang
259
60
0
22 Jun 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs
Neural Information Processing Systems (NeurIPS), 2022
Rui Lu
Andrew Zhao
S. Du
Gao Huang
OffRL
334
11
0
31 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning
Annual Conference Computational Learning Theory (COLT), 2022
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
358
40
0
29 May 2022
Chain of Thought Imitation with Procedure Cloning
Neural Information Processing Systems (NeurIPS), 2022
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
266
49
0
22 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
International Conference on Machine Learning (ICML), 2022
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
467
85
0
04 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
Jiaqi Yang
Qi Lei
Jason D. Lee
S. Du
337
16
0
29 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
International Conference on Learning Representations (ICLR), 2022
Alex Gu
Songtao Lu
Parikshit Ram
Tsui-Wei Weng
340
11
0
03 Mar 2022
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
International Conference on Learning Representations (ICLR), 2021
Mengjiao Yang
Sergey Levine
Ofir Nachum
OffRL
314
53
0
27 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
375
13
0
06 Jul 2021
On the Power of Multitask Representation Learning in Linear MDP
Rui Lu
Gao Huang
S. Du
223
31
0
15 Jun 2021
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits
A. Ghosh
Abishek Sankararaman
Kannan Ramchandran
283
4
0
15 Jun 2021
Learning distinct features helps, provably
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
MLT
288
6
0
10 Jun 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features
Neural Information Processing Systems (NeurIPS), 2021
Ofir Nachum
Mengjiao Yang
SSL
OffRL
295
39
0
26 May 2021
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
Nived Rajaraman
Yanjun Han
Lin F. Yang
Kannan Ramchandran
Jiantao Jiao
233
16
0
25 Feb 2021
Near-optimal Representation Learning for Linear Bandits and Linear RL
International Conference on Machine Learning (ICML), 2021
Jiachen Hu
Xiaoyu Chen
Chi Jin
Lihong Li
Liwei Wang
OffRL
396
60
0
08 Feb 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Journal of machine learning research (JMLR), 2021
Kaiyi Ji
Yingbin Liang
318
66
0
07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
632
276
0
27 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
375
207
0
06 Jan 2021
Impact of Representation Learning in Linear Bandits
Jiaqi Yang
Wei Hu
Jason D. Lee
S. Du
331
57
0
13 Oct 2020
Toward the Fundamental Limits of Imitation Learning
Neural Information Processing Systems (NeurIPS), 2020
Nived Rajaraman
Lin F. Yang
Jiantao Jiao
K. Ramachandran
408
113
0
13 Sep 2020
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