Provable Representation Learning for Imitation Learning via Bi-level Optimization

24 February 2020

Papers citing "Provable Representation Learning for Imitation Learning via Bi-level Optimization"

40 / 40 papers shown

Title
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process Rui Lu Yang Yue Andrew Zhao S. Du Gao Huang OffRL 52 1 0 01 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 76 0 0 27 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 56 4 0 08 Jan 2025
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples Thomas T. Zhang Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni CML OOD 36 0 0 15 Oct 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning Donghu Kim Hojoon Lee Kyungmin Lee Dongyoon Hwang Jaegul Choo OffRL 29 1 0 10 Jun 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 67 1 0 18 May 2024
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 39 1 0 02 Nov 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 27 5 0 26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan-Chia Cheng Jing Yang Vincent Tan Yingbin Liang 26 0 0 20 Oct 2023
Federated Multi-Level Optimization over Decentralized Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang AI4CE 28 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 22 0 0 09 Oct 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization Junyi Wang Yuanyang Zhu Zhi Wang Yan Zheng Jianye Hao Chun-Han Chen OffRL 11 0 0 01 Aug 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition Quan-Wu Xiao Songtao Lu Tianyi Chen 24 2 0 04 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 24 0 0 02 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 20 20 0 26 May 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 48 10 0 03 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 35 23 0 01 Dec 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 35 10 0 02 Nov 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 32 42 0 22 Jun 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 27 10 0 31 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 21 33 0 29 May 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 40 73 0 04 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 35 16 0 29 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 32 10 0 03 Mar 2022
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 27 41 0 27 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 19 28 0 15 Jun 2021
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits A. Ghosh Abishek Sankararaman K. Ramchandran 14 4 0 15 Jun 2021
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj MLT 28 6 0 10 Jun 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features Ofir Nachum Mengjiao Yang SSL OffRL 14 39 0 26 May 2021
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally Nived Rajaraman Yanjun Han Lin F. Yang K. Ramchandran Jiantao Jiao 11 14 0 25 Feb 2021
Near-optimal Representation Learning for Linear Bandits and Linear RL Jiachen Hu Xiaoyu Chen Chi Jin Lihong Li Liwei Wang OffRL 12 50 0 08 Feb 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization Kaiyi Ji Yingbin Liang 18 57 0 07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 45 221 0 27 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 82 147 0 06 Jan 2021
Impact of Representation Learning in Linear Bandits Jiaqi Yang Wei Hu Jason D. Lee S. Du 14 53 0 13 Oct 2020
Toward the Fundamental Limits of Imitation Learning Nived Rajaraman Lin F. Yang Jiantao Jiao K. Ramachandran 10 82 0 13 Sep 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017