Imagen de Portada

Identifying Latent Actions and Dynamics from Offline Data via Demonstrator Diversity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Schur, Felix
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Prediction-Intervention Games and Invariant Sets
por: Kühne, Linus, et al.
Publicado: (2026)

Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?
por: Schur, Felix, et al.
Publicado: (2026)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
por: Alles, Marvin, et al.
Publicado: (2024)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
por: Park, Seohong, et al.
Publicado: (2023)

Leveraging Offline Data in Linear Latent Contextual Bandits
por: Kausik, Chinmaya, et al.
Publicado: (2024)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
por: Liang, Anthony, et al.
Publicado: (2025)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
por: Zhang, Liyu, et al.
Publicado: (2024)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
por: Kim, Jeonghye, et al.
Publicado: (2025)

UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations
por: Hoang, Huy, et al.
Publicado: (2024)

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

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

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
por: Li, Zongyue, et al.
Publicado: (2025)

Transferring Causal Effects using Proxies
por: Iglesias-Alonso, Manuel, et al.
Publicado: (2025)

Action-Free Offline-to-Online RL via Discretised State Policies
por: Neggatu, Natinael Solomon, et al.
Publicado: (2026)

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

Latent Adversarial Regularization for Offline Preference Optimization
por: Jiang, Enyi, et al.
Publicado: (2026)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
por: Nguyen-Tang, Thanh, et al.
Publicado: (2024)

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
por: He, Longxiang, et al.
Publicado: (2025)

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

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

Offline Reinforcement Learning with Penalized Action Noise Injection
por: Oh, JunHyeok, et al.
Publicado: (2025)

Scalable Offline Model-Based RL with Action Chunks
por: Park, Kwanyoung, et al.
Publicado: (2025)

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

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
por: Yang, Rui, et al.
Publicado: (2024)

Learning Causally Invariant Reward Functions from Diverse Demonstrations
por: Ovinnikov, Ivan, et al.
Publicado: (2024)

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

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
por: Cheng, Jie, et al.
Publicado: (2024)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
por: Zhang, Tianle, et al.
Publicado: (2024)

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

Offline Behavioral Data Selection
por: Lei, Shiye, et al.
Publicado: (2025)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
por: Mao, Yixiu, et al.
Publicado: (2024)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
por: Xu, Yinglun, et al.
Publicado: (2023)

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
por: Tiofack, Franki Nguimatsia, et al.
Publicado: (2025)

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
por: Xu, Jiawei, et al.
Publicado: (2024)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
por: Jia, Chengxing, et al.
Publicado: (2024)

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

Counterfactual Identifiability via Dynamic Optimal Transport
por: Ribeiro, Fabio De Sousa, et al.
Publicado: (2025)

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
por: Reizinger, Patrik, et al.
Publicado: (2025)

Automatic Reward Shaping from Confounded Offline Data
por: Li, Mingxuan, et al.
Publicado: (2025)