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Planning for Sample Efficient Imitation Learning

Planning for Sample Efficient Imitation Learning

Neural Information Processing Systems (NeurIPS), 2022
18 October 2022
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
    OffRL
ArXiv (abs)PDFHTMLGithub (40★)

Papers citing "Planning for Sample Efficient Imitation Learning"

19 / 19 papers shown
Title
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
Iason Chrysomallis
Georgios Chalkiadakis
OOD
185
0
0
05 Nov 2025
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Shangzhe Li
Dongruo Zhou
Weitong Zhang
OffRL
112
0
0
10 Oct 2025
A KL-regularization framework for learning to plan with adaptive priors
A KL-regularization framework for learning to plan with adaptive priors
Álvaro Serra-Gómez
Daniel Jarne Ornia
Dhruva Tirumala
Thomas Moerland
OffRL
88
0
0
05 Oct 2025
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
Yilin Wang
Shangzhe Li
Haoyi Niu
Zhiao Huang
Weitong Zhang
H. Su
OffRL
72
1
0
02 Oct 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Shangzhe Li
Zhiao Huang
Hao Su
285
1
0
04 May 2025
Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks
Hengxu You
Yang Ye
Tianyu Zhou
Jing Du
121
1
0
28 Jan 2025
Reward-free World Models for Online Imitation Learning
Reward-free World Models for Online Imitation Learning
Shangzhe Li
Zhiao Huang
H. Su
OffRL
652
3
0
17 Oct 2024
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments
S. Zhan
Qingyuan Wu
Philip Wang
Yixuan Wang
Ruochen Jiao
Chao Huang
Qi Zhu
250
2
0
04 Oct 2024
Learning to Play Atari in a World of Tokens
Learning to Play Atari in a World of Tokens
Pranav Agarwal
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
209
5
0
03 Jun 2024
Efficient Imitation Learning with Conservative World Models
Efficient Imitation Learning with Conservative World Models
Victor Kolev
Rafael Rafailov
Kyle Hatch
Jiajun Wu
Chelsea Finn
OffRL
164
8
0
21 May 2024
Imitation Learning: A Survey of Learning Methods, Environments and
  Metrics
Imitation Learning: A Survey of Learning Methods, Environments and Metrics
Nathan Gavenski
Odinaldo Rodrigues
Michael Luck
247
167
0
30 Apr 2024
Imitation Bootstrapped Reinforcement Learning
Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu
Suvir Mirchandani
Dorsa Sadigh
349
47
0
03 Nov 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General
  Sequential Decision Scenarios
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision ScenariosNeural Information Processing Systems (NeurIPS), 2023
Yazhe Niu
Yuan Pu
Zhenjie Yang
Xueyan Li
Tong Zhou
Jiyuan Ren
Shuai Hu
Jiaming Song
Yu Liu
317
20
0
12 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable
  Environments
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
165
0
0
09 Oct 2023
Towards High Efficient Long-horizon Planning with Expert-guided
  Motion-encoding Tree Search
Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree SearchIEEE Robotics and Automation Letters (RA-L), 2023
Tong Zhou
Erli Lyu
Jiaole Wang
Guangdu Cen
Ziqi Zha
Senmao Qi
Max Q.-H. Meng
104
2
0
26 Sep 2023
Mimicking Better by Matching the Approximate Action Distribution
Mimicking Better by Matching the Approximate Action DistributionInternational Conference on Machine Learning (ICML), 2023
Joao A. Candido Ramos
Lionel Blondé
Naoya Takeishi
Alexandros Kalousis
163
3
0
16 Jun 2023
A Generalist Dynamics Model for Control
A Generalist Dynamics Model for Control
Ingmar Schubert
Jingwei Zhang
Jake Bruce
Sarah Bechtle
Emilio Parisotto
Martin Riedmiller
Jost Tobias Springenberg
Arunkumar Byravan
Leonard Hasenclever
N. Heess
AI4CE
173
35
0
18 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRLLRM
319
10
0
24 Apr 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A
  Survey
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu
H. Su
OffRL
296
1
0
23 Mar 2023
1