ICML 2024 "imitation learning" Papers
16 papers found
Diffusion Model-Augmented Behavioral Cloning
Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu et al.
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora, Gokul Swamy, Christopher Lu et al.
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun et al.
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.
Hybrid Inverse Reinforcement Learning
Juntao Ren, Gokul Swamy, Steven Wu et al.
Imitation Learning from Purified Demonstrations
Yunke Wang, Minjing Dong, Yukun Zhao et al.
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher
Iterative Regularized Policy Optimization with Imperfect Demonstrations
Xudong Gong, Feng Dawei, Kele Xu et al.
Limited Preference Aided Imitation Learning from Imperfect Demonstrations
Xingchen Cao, Fan-Ming Luo, Junyin Ye et al.
Mimicking Better by Matching the Approximate Action Distribution
Joao A. Candido Ramos, Lionel Blondé, Naoya Takeishi et al.
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
Sheng Yue, Xingyuan Hua, Ju Ren et al.
Online Cascade Learning for Efficient Inference over Streams
Lunyiu Nie, Zhimin Ding, Erdong Hu et al.
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.
Ranking-based Client Imitation Selection for Efficient Federated Learning
Chunlin Tian, Zhan Shi, Xinpeng Qin et al.
Stealthy Imitation: Reward-guided Environment-free Policy Stealing
Zhixiong Zhuang, Irina Nicolae, Mario Fritz
When is Transfer Learning Possible?
My Phan, Kianté Brantley, Stephanie Milani et al.