Cover Image

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Xingrui, Wan, Zhenglin, Bossens, David Mark, Lyu, Yueming, Guo, Qing, Tsang, Ivor W.
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

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

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
by: Wan, Zhenglin, et al.
Published: (2024)

Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching
by: Wu, Jingxuan, et al.
Published: (2025)

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models
by: Wu, Jingxuan, et al.
Published: (2026)

Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
by: Bossens, David M., et al.
Published: (2021)

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
by: Shao, Jie-Jing, et al.
Published: (2026)

Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models
by: Sun, Ming, et al.
Published: (2026)

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
by: Trivedi, Rakshit, et al.
Published: (2026)

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning
by: Pan, Xu, et al.
Published: (2026)

How to Leverage Diverse Demonstrations in Offline Imitation Learning
by: Yue, Sheng, et al.
Published: (2024)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
by: Yang, Hanlin, et al.
Published: (2024)

DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)

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

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
by: Wan, Zhenglin, et al.
Published: (2025)

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)

Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)

Sharpness-Aware Black-Box Optimization
by: Ye, Feiyang, et al.
Published: (2024)

IKNO: Infinite-order Kernel Neural Operators
by: Zhu, Pengyuan, et al.
Published: (2026)

QED: using Quality-Environment-Diversity to evolve resilient robot swarms
by: Bossens, David M., et al.
Published: (2020)

Imitating Cost-Constrained Behaviors in Reinforcement Learning
by: Shao, Qian, et al.
Published: (2024)

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

Single-Reset Divide & Conquer Imitation Learning
by: Chenu, Alexandre, et al.
Published: (2024)

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

Reflection-Driven Control for Trustworthy Code Agents
by: Wang, Bin, et al.
Published: (2025)

Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
by: Xie, Tian, et al.
Published: (2024)

HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models
by: Yan, Xin, et al.
Published: (2026)

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
by: Yan, Kai, et al.
Published: (2023)

Rethinking Representativeness and Diversity in Dynamic Data Selection
by: Zhou, Yuzhe, et al.
Published: (2026)

HC$^2$L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understanding
by: Xing, Bowen, et al.
Published: (2024)

Latent Wasserstein Adversarial Imitation Learning
by: Yang, Siqi, et al.
Published: (2026)

IDIL: Imitation Learning of Intent-Driven Expert Behavior
by: Seo, Sangwon, et al.
Published: (2024)

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
by: Tang, Zhenwei, et al.
Published: (2025)

Scaling Laws for Imitation Learning in Single-Agent Games
by: Tuyls, Jens, et al.
Published: (2023)

Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
by: Jia, Xiaogang, et al.
Published: (2024)

Adversarial Dual On-Policy Distillation from Expressive Teacher
by: Wan, Zhenglin, et al.
Published: (2026)

Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
by: Gavenski, Nathan, et al.
Published: (2024)

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning
by: Alessi, Carlo, et al.
Published: (2025)

Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
by: Veith, Eric MSP, et al.
Published: (2024)

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