"imitation learning" Papers

26 papers found

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning

Yuanfei Wang, Xiaojie Zhang, Ruihai Wu et al.

ICLR 2025posterarXiv:2502.11124
12
citations

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Haoran Xu, Shuozhe Li, Harshit Sikchi et al.

ICLR 2025posterarXiv:2504.13368
2
citations

A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search

Arnav Kumar Jain, Vibhakar Mohta, Subin Kim et al.

NeurIPS 2025oralarXiv:2506.05294
6
citations

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

Kefei Zhu, Fengshuo Bai, YuanHao Xiang et al.

NeurIPS 2025spotlightarXiv:2509.23829
3
citations

Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling

Tianyi Tan, Yinan Zheng, Ruiming Liang et al.

NeurIPS 2025oralarXiv:2510.11083
5
citations

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

Zhizhen Zhang, Lei Zhu, Zhen Fang et al.

NeurIPS 2025oralarXiv:2502.01218
2
citations

Quantization-Free Autoregressive Action Transformer

Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach et al.

NeurIPS 2025spotlightarXiv:2503.14259
1
citations

Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design

Yunfan Li, Eric Liu, Lin Yang

NeurIPS 2025spotlight

DiffAIL: Diffusion Adversarial Imitation Learning

Bingzheng Wang, Guoqiang Wu, Teng Pang et al.

AAAI 2024paperarXiv:2312.06348
20
citations

Diffusion Model-Augmented Behavioral Cloning

Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu et al.

ICML 2024oral

EvIL: Evolution Strategies for Generalisable Imitation Learning

Silvia Sapora, Gokul Swamy, Christopher Lu et al.

ICML 2024poster

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning

Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun et al.

ICML 2024poster

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.

ICML 2024poster

Hybrid Inverse Reinforcement Learning

Juntao Ren, Gokul Swamy, Steven Wu et al.

ICML 2024oral

Imitation Learning from Purified Demonstrations

Yunke Wang, Minjing Dong, Yukun Zhao et al.

ICML 2024poster

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher

ICML 2024poster

Iterative Regularized Policy Optimization with Imperfect Demonstrations

Xudong Gong, Feng Dawei, Kele Xu et al.

ICML 2024poster

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, Dongdong Ge et al.

AAAI 2024paperarXiv:2308.08171
11
citations

Limited Preference Aided Imitation Learning from Imperfect Demonstrations

Xingchen Cao, Fan-Ming Luo, Junyin Ye et al.

ICML 2024poster

Mimicking Better by Matching the Approximate Action Distribution

Joao A. Candido Ramos, Lionel Blondé, Naoya Takeishi et al.

ICML 2024poster

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning

Sheng Yue, Xingyuan Hua, Ju Ren et al.

ICML 2024poster

Online Cascade Learning for Efficient Inference over Streams

Lunyiu Nie, Zhimin Ding, Erdong Hu et al.

ICML 2024poster

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

Ruijie Zheng, Yongyuan Liang, xiyao wang et al.

ICML 2024oral

Ranking-based Client Imitation Selection for Efficient Federated Learning

Chunlin Tian, Zhan Shi, Xinpeng Qin et al.

ICML 2024poster

Stealthy Imitation: Reward-guided Environment-free Policy Stealing

Zhixiong Zhuang, Irina Nicolae, Mario Fritz

ICML 2024poster

When is Transfer Learning Possible?

My Phan, Kianté Brantley, Stephanie Milani et al.

ICML 2024poster