Imagen de Portada

Evaluating Model-Free Policy Optimization in Masked-Action Environments via an Exact Blackjack Oracle

Fuente: arXiv

Guardado en:

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

Ejemplares similares

Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
por: Zhang, Yuhang, et al.
Publicado: (2025)

LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models
por: Wei, Chenxing, et al.
Publicado: (2026)

Learning to Play Blackjack: A Curriculum Learning Perspective
por: Alasti, Amirreza, et al.
Publicado: (2026)

What Exactly Does Guidance Do in Masked Discrete Diffusion Models
por: Ye, He, et al.
Publicado: (2025)

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation
por: Hu, Haichen, et al.
Publicado: (2026)

Client Selection for Federated Policy Optimization with Environment Heterogeneity
por: Xie, Zhijie, et al.
Publicado: (2023)

DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking
por: Turok, Gilad, et al.
Publicado: (2026)

OFAL: An Oracle-Free Active Learning Framework
por: Khorsand, Hadi, et al.
Publicado: (2025)

Diffusion-State Policy Optimization for Masked Diffusion Language Models
por: Oba, Daisuke, et al.
Publicado: (2026)

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

Clipping-Free Policy Optimization for Large Language Models
por: Çağatan, Ömer Veysel, et al.
Publicado: (2026)

Proximal Oracles for Optimization and Sampling
por: Liang, Jiaming, et al.
Publicado: (2024)

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization
por: Nie, Buqing, et al.
Publicado: (2025)

Exact Unlearning of Finetuning Data via Model Merging at Scale
por: Kuo, Kevin, et al.
Publicado: (2025)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
por: Kiyohara, Haruka, et al.
Publicado: (2024)

Reinforcing Language Agents via Policy Optimization with Action Decomposition
por: Wen, Muning, et al.
Publicado: (2024)

Short-Long Policy Evaluation with Novel Actions
por: Nam, Hyunji Alex, et al.
Publicado: (2024)

Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?
por: Markgraf, Hannah, et al.
Publicado: (2025)

FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport
por: Herlock, et al.
Publicado: (2025)

Value-Free Policy Optimization via Reward Partitioning
por: Faye, Bilal, et al.
Publicado: (2025)

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
por: Rojas, Kevin, et al.
Publicado: (2025)

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
por: Matrenok, Simon, et al.
Publicado: (2025)

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages
por: Yang, Andy, et al.
Publicado: (2023)

Optimal Inference Schedules for Masked Diffusion Models
por: Chen, Sitan, et al.
Publicado: (2025)

UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
por: Misaki, Kou, et al.
Publicado: (2026)

Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
por: Chang, Xiangyu, et al.
Publicado: (2025)

Active Policy Improvement from Multiple Black-box Oracles
por: Liu, Xuefeng, et al.
Publicado: (2023)

Online Convex Optimization with a Separation Oracle
por: Mhammedi, Zakaria
Publicado: (2024)

Learning Action Embeddings for Off-Policy Evaluation
por: Cief, Matej, et al.
Publicado: (2023)

Training-Free Self-Correction for Multimodal Masked Diffusion Models
por: Ouyang, Yidong, et al.
Publicado: (2026)

Omni-Masked Gradient Descent: Memory-Efficient Optimization via Mask Traversal with Improved Convergence
por: Yang, Hui, et al.
Publicado: (2026)

Evaluating Blackjack Strategy Models.
por: Mir Ihrar ali
Publicado: (2025)

Graph Generative Models Evaluation with Masked Autoencoder
por: Wang, Chengen, et al.
Publicado: (2025)

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
por: Chao, Chen-Hao, et al.
Publicado: (2025)

Learning Interpretable Models Using Uncertainty Oracles
por: Ghose, Abhishek, et al.
Publicado: (2019)

Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle
por: Richtárik, Peter, et al.
Publicado: (2026)

Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
por: Tang, Zhiwei, et al.
Publicado: (2023)

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient
por: Zhou, Zhongzhu, et al.
Publicado: (2025)

Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits
por: Chandak, Kushagra, et al.
Publicado: (2025)

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression
por: Wang, Lirui, et al.
Publicado: (2025)