Cover Image

Latent Wasserstein Adversarial Imitation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Siqi, Yan, Kai, Schwing, Alexander G., Wang, Yu-Xiong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
by: Yan, Kai, et al.
Published: (2024)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
by: Qiu, Yixuan, et al.
Published: (2024)

Auto-Encoding Adversarial Imitation Learning
by: Zhang, Kaifeng, et al.
Published: (2022)

Adversarial Imitation Learning from Visual Observations using Latent Information
by: Giammarino, Vittorio, et al.
Published: (2023)

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
by: Ye, Yuyang, et al.
Published: (2024)

Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
by: Xu, Tian, 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)

Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
by: Xu, Tian, et al.
Published: (2026)

Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms
by: Xu, Tian, et al.
Published: (2026)

Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)

Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
by: Xu, Tian, et al.
Published: (2022)

Adversarial Imitation Learning via Boosting
by: Chang, Jonathan D., et al.
Published: (2024)

Sample-efficient Adversarial Imitation Learning
by: Jung, Dahuin, et al.
Published: (2023)

SimpliHuMoN: Simplifying Human Motion Prediction
by: Agrawal, Aadya, et al.
Published: (2026)

Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
by: Zhao, Xiaoming, et al.
Published: (2025)

Robust Model-Based Optimization for Challenging Fitness Landscapes
by: Ghaffari, Saba, et al.
Published: (2023)

Max-Sliced Wasserstein Distance and its use for GANs
by: Deshpande, Ishan, et al.
Published: (2019)

The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
by: Cheng, Ho Kei, et al.
Published: (2025)

Zero-shot Imitation Learning by Latent Topology Mapping
by: Jacobson, Maxwell J., et al.
Published: (2026)

Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
by: Chen, Yilei, et al.
Published: (2024)

On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning
by: Memarian, Farzan, et al.
Published: (2021)

Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning
by: Li, Shangzhe, et al.
Published: (2026)

Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
by: Li, Shangzhe, et al.
Published: (2025)

Partial Distribution Matching via Partial Wasserstein Adversarial Networks
by: Wang, Zi-Ming, et al.
Published: (2024)

Group Effect Enhanced Generative Adversarial Imitation Learning for Individual Travel Behavior Modeling under Incentives
by: Wu, Yuanyuan, et al.
Published: (2025)

Interpretable Imitation Learning via Generative Adversarial STL Inference and Control
by: Liu, Wenliang, et al.
Published: (2024)

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
by: Luo, Tianjiao, et al.
Published: (2024)

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

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
by: Giammarino, Vittorio, et al.
Published: (2024)

Interpretable Imitation Learning with Dynamic Causal Relations
by: Zhao, Tianxiang, et al.
Published: (2023)

Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression
by: Zhang, Ziqi, et al.
Published: (2024)

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
by: Weaver, Catherine, et al.
Published: (2024)

Diffusion Imitation from Observation
by: Huang, Bo-Ruei, et al.
Published: (2024)

Semi-Supervised Cross-Domain Imitation Learning
by: Chu, Li-Min, et al.
Published: (2026)

Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
by: Zhang, Yangchun, et al.
Published: (2024)

PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
by: Zhou, Weichao, et al.
Published: (2023)

SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
by: Li, Pengcheng, et al.
Published: (2025)