Imagen de Portada

An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Beeson, Alex, Ireland, David, Montana, Giovanni
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
por: Ireland, David, et al.
Publicado: (2024)

Goal-conditioned Offline Reinforcement Learning through State Space Partitioning
por: Wang, Mianchu, et al.
Publicado: (2023)

Learning Partial Action Replacement in Offline MARL
por: Jin, Yue, et al.
Publicado: (2026)

Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
por: Wang, Mianchu, et al.
Publicado: (2024)

State-Constrained Offline Reinforcement Learning
por: Hepburn, Charles A., et al.
Publicado: (2024)

Partial Action Replacement: Tackling Distribution Shift in Offline MARL
por: Jin, Yue, et al.
Publicado: (2025)

Evaluation-Time Policy Switching for Offline Reinforcement Learning
por: Neggatu, Natinael Solomon, et al.
Publicado: (2025)

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

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
por: Wang, Mianchu, et al.
Publicado: (2023)

BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
por: Landers, Matthew, et al.
Publicado: (2024)

Flow Matching for Offline Reinforcement Learning with Discrete Actions
por: Khan, Fairoz Nower, et al.
Publicado: (2026)

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

Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
por: Jin, Yue, et al.
Publicado: (2024)

Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning
por: Zhu, Ting, et al.
Publicado: (2024)

Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
por: Chen, Xuyang, et al.
Publicado: (2025)

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
por: Durkin, Alex, et al.
Publicado: (2025)

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

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

Investigating Relational State Abstraction in Collaborative MARL
por: Utke, Sharlin, et al.
Publicado: (2024)

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

Equivariant Offline Reinforcement Learning
por: Tangri, Arsh, et al.
Publicado: (2024)

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

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

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

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations
por: Ayabe, Shingo, et al.
Publicado: (2024)

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
por: Zhu, Yujie, et al.
Publicado: (2025)

The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces
por: Bomatter, Philipp, et al.
Publicado: (2026)

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

Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees
por: Jiang, Nan, et al.
Publicado: (2025)

Disentanglement as Identifiable Pushforward Factorisation
por: Allen, Carl
Publicado: (2024)

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

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
por: Dong, Jinzong, et al.
Publicado: (2026)

Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
por: Ayoub, Alex, et al.
Publicado: (2024)

Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
por: Jiang, Ke, et al.
Publicado: (2025)

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

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
por: Schlegel, Matthew, et al.
Publicado: (2026)

Federated Offline Reinforcement Learning
por: Zhou, Doudou, et al.
Publicado: (2022)

Epistemic Robust Offline Reinforcement Learning
por: Chenreddy, Abhilash Reddy, et al.
Publicado: (2026)

In-Context Reinforcement Learning for Variable Action Spaces
por: Sinii, Viacheslav, et al.
Publicado: (2023)

Offline Multitask Representation Learning for Reinforcement Learning
por: Ishfaq, Haque, et al.
Publicado: (2024)