Cover Image

How to Leverage Diverse Demonstrations in Offline Imitation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yue, Sheng, Liu, Jiani, Hua, Xingyuan, Ren, Ju, Lin, Sen, Zhang, Junshan, Zhang, Yaoxue
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
by: Yue, Sheng, et al.
Published: (2024)

FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
by: Qiao, Nan, et al.
Published: (2025)

AugFL: Augmenting Federated Learning with Pretrained Models
by: Yue, Sheng, et al.
Published: (2025)

Federated Offline Policy Optimization with Dual Regularization
by: Yue, Sheng, et al.
Published: (2024)

Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency
by: Yue, Sheng, et al.
Published: (2024)

Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)

SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
by: Hoang, Huy, et al.
Published: (2024)

Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)

Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations
by: Hoang, Huy, et al.
Published: (2025)

Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)

DITTO: Offline Imitation Learning with World Models
by: DeMoss, Branton, et al.
Published: (2023)

Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
by: Hua, Xingyuan, et al.
Published: (2026)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)

A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)

Identifying Latent Actions and Dynamics from Offline Data via Demonstrator Diversity
by: Schur, Felix
Published: (2026)

SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)

FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification
by: Qiao, Nan, et al.
Published: (2026)

Offline Behavior Distillation
by: Lei, Shiye, et al.
Published: (2024)

Balance Equation-based Distributionally Robust Offline Imitation Learning
by: Agrawal, Rishabh, et al.
Published: (2025)

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
by: Yao, Michael S., et al.
Published: (2025)

Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)

Align Your Intents: Offline Imitation Learning via Optimal Transport
by: Bobrin, Maksim, et al.
Published: (2024)

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
by: Yu, Xingrui, et al.
Published: (2024)

A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
by: Kim, Kihyun, et al.
Published: (2024)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
by: Fan, Jiangdong, et al.
Published: (2024)

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
by: Ruoss, Anian, et al.
Published: (2024)

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
by: Agrawal, Rishabh, et al.
Published: (2024)

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
by: Zhao, Heyang, et al.
Published: (2025)

Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
by: Sen, Sayambhu, et al.
Published: (2025)

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2025)

Offline Learning of Controllable Diverse Behaviors
by: Petitbois, Mathieu, et al.
Published: (2025)

CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
by: Liang, Hongli, et al.
Published: (2025)

OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2026)

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
by: Seo, Sangwon, et al.
Published: (2025)

Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024)