Poster "imitation learning" Papers
48 papers found
Conference
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
Yuanfei Wang, Xiaojie Zhang, Ruihai Wu et al.
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
Haoran Xu, Shuozhe Li, Harshit Sikchi et al.
Bootstrapped Model Predictive Control
Yuhang Wang, Hanwei Guo, Sizhe Wang et al.
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
Xinhao Liu, Jintong Li, Yicheng Jiang et al.
Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
Amin Soleimani Abyaneh, Mahrokh Boroujeni, Hsiu-Chin Lin et al.
Data Scaling Laws in Imitation Learning for Robotic Manipulation
Fanqi Lin, Yingdong Hu, Pingyue Sheng et al.
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
Shuyao Shang, Yuntao Chen, Yuqi Wang et al.
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Inkook Chun, Seungjae Lee, Michael Albergo et al.
Efficient Active Imitation Learning with Random Network Distillation
Emilien Biré, Anthony Kobanda, Ludovic Denoyer et al.
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa et al.
ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
Chenrui Tie, Yue Chen, Ruihai Wu et al.
Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
Yifan Yang, Gang Chen, Hui Ma et al.
How to Train Your LLM Web Agent: A Statistical Diagnosis
Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza et al.
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
Yinlam Chow, Guy Tennenholtz, Izzeddin Gur et al.
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
Yichen Li, Chicheng Zhang
MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
Wayne Wu, Honglin He, Jack He et al.
Normalizing Flows are Capable Models for Continuous Control
Raj Ghugare, Benjamin Eysenbach
On a Connection Between Imitation Learning and RLHF
Teng Xiao, Yige Yuan, Mingxiao Li et al.
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
Yiming Wu, Huan Wang, Zhenghao Chen et al.
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
Qiang Liu, Huiqiao Fu, Kaiqiang Tang et al.
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan, Tongzhou Mu, Stone Tao et al.
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
Yi Huang, Zhan Qu, Lihui Jiang et al.
Quantifying Generalisation in Imitation Learning
Nathan Gavenski, Odinaldo Rodrigues
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
Seongmin Park, Hyungmin Kim, Sangwoo kim et al.
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
Yunke Ao, Masoud Moghani, Mayank Mittal et al.
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
Qi Lv, Hao Li, Xiang Deng et al.
Student-Informed Teacher Training
Nico Messikommer, Jiaxu Xing, Elie Aljalbout et al.
TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation
Hongxiang Zhao, Xingchen Liu, Mutian Xu et al.
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige et al.
What's the Move? Hybrid Imitation Learning via Salient Points
Priya Sundaresan, Hengyuan Hu, Quan Vuong et al.
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang et al.
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang, Guangqi Jiang, Yanjie Ze 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.
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs
Aayam Shrestha, Pan Liu, German Ros et al.
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang, Bruce Lee, Ingvar Ziemann 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.
Ranking-based Client Imitation Selection for Efficient Federated Learning
Chunlin Tian, Zhan Shi, Xinpeng Qin et al.
Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving
Yixuan Fan, Ya-Li Li, Shengjin Wang
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.