PAC-Bayesian Reinforcement Learning Trains Generalizable Policies
Fuente:
arXiv
Guardado en:
| Autores principales: | Zitouni, Abdelkrim, Hennequin, Mehdi, Agoun, Juba, Horache, Ryan, Kabachi, Nadia, Rivasplata, Omar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
por: Hennequin, Mehdi, et al.
Publicado: (2024)
por: Hennequin, Mehdi, et al.
Publicado: (2024)
Semi-pessimistic Reinforcement Learning
por: Zhu, Jin, et al.
Publicado: (2025)
por: Zhu, Jin, et al.
Publicado: (2025)
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
por: Aouali, Imad, et al.
Publicado: (2024)
por: Aouali, Imad, et al.
Publicado: (2024)
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
por: Lee, Jaejun, et al.
Publicado: (2024)
por: Lee, Jaejun, et al.
Publicado: (2024)
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
por: Hennequin, Mehdi, et al.
Publicado: (2024)
por: Hennequin, Mehdi, et al.
Publicado: (2024)
User Profiles of Sleep Disorder Sufferers: Towards Explainable Clustering and Differential Variable Analysis
por: Sellami, Sifeddine, et al.
Publicado: (2025)
por: Sellami, Sifeddine, et al.
Publicado: (2025)
Learning Safe Numeric Planning Action Models
por: Mordoch, Argaman, et al.
Publicado: (2023)
por: Mordoch, Argaman, et al.
Publicado: (2023)
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset
por: Rashed, Ahmed, et al.
Publicado: (2024)
por: Rashed, Ahmed, et al.
Publicado: (2024)
LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation
por: Tan, Heng, et al.
Publicado: (2025)
por: Tan, Heng, et al.
Publicado: (2025)
Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
por: Woydt, Tim, et al.
Publicado: (2026)
por: Woydt, Tim, et al.
Publicado: (2026)
Learning Linear Utility Functions From Pairwise Comparison Queries
por: Ge, Luise, et al.
Publicado: (2024)
por: Ge, Luise, et al.
Publicado: (2024)
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
por: Attias, Idan, et al.
Publicado: (2023)
por: Attias, Idan, et al.
Publicado: (2023)
Is Efficient PAC Learning Possible with an Oracle That Responds 'Yes' or 'No'?
por: Daskalakis, Constantinos, et al.
Publicado: (2024)
por: Daskalakis, Constantinos, et al.
Publicado: (2024)
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
por: Lu, Heng, et al.
Publicado: (2024)
por: Lu, Heng, et al.
Publicado: (2024)
Neuro-symbolic Action Masking for Deep Reinforcement Learning
por: Han, Shuai, et al.
Publicado: (2026)
por: Han, Shuai, et al.
Publicado: (2026)
Bayesian Federated Learning for Continual Training
por: Milasheuski, Usevalad, et al.
Publicado: (2025)
por: Milasheuski, Usevalad, et al.
Publicado: (2025)
HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees
por: Zeng, Hao, et al.
Publicado: (2026)
por: Zeng, Hao, et al.
Publicado: (2026)
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
por: Li, Wenyun, et al.
Publicado: (2025)
por: Li, Wenyun, et al.
Publicado: (2025)
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
por: Lin, Haohong, et al.
Publicado: (2024)
por: Lin, Haohong, et al.
Publicado: (2024)
Kernel Density Bayesian Inverse Reinforcement Learning
por: Mandyam, Aishwarya, et al.
Publicado: (2023)
por: Mandyam, Aishwarya, et al.
Publicado: (2023)
PAC Privacy Preserving Diffusion Models
por: Xu, Qipan, et al.
Publicado: (2023)
por: Xu, Qipan, et al.
Publicado: (2023)
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
por: Xiao, Teng, et al.
Publicado: (2024)
por: Xiao, Teng, et al.
Publicado: (2024)
Maximum Entropy Reinforcement Learning with Diffusion Policy
por: Dong, Xiaoyi, et al.
Publicado: (2025)
por: Dong, Xiaoyi, et al.
Publicado: (2025)
Offline Reinforcement Learning with Generative Trajectory Policies
por: Feng, Xinsong, et al.
Publicado: (2025)
por: Feng, Xinsong, et al.
Publicado: (2025)
Adaptive Policy Synchronization for Scalable Reinforcement Learning
por: Lafuente-Mercado, Rodney
Publicado: (2025)
por: Lafuente-Mercado, Rodney
Publicado: (2025)
EXPO: Stable Reinforcement Learning with Expressive Policies
por: Dong, Perry, et al.
Publicado: (2025)
por: Dong, Perry, et al.
Publicado: (2025)
Flow-Based Policy for Online Reinforcement Learning
por: Lv, Lei, et al.
Publicado: (2025)
por: Lv, Lei, et al.
Publicado: (2025)
Semi-supervised Batch Learning From Logged Data
por: Aminian, Gholamali, et al.
Publicado: (2022)
por: Aminian, Gholamali, et al.
Publicado: (2022)
Reinforcement Learning with Generalizable Gaussian Splatting
por: Wang, Jiaxu, et al.
Publicado: (2024)
por: Wang, Jiaxu, et al.
Publicado: (2024)
When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning
por: Hossain, Elias, et al.
Publicado: (2026)
por: Hossain, Elias, et al.
Publicado: (2026)
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
por: Aouali, Imad, et al.
Publicado: (2024)
por: Aouali, Imad, et al.
Publicado: (2024)
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
por: Kekić, Armin, et al.
Publicado: (2025)
por: Kekić, Armin, et al.
Publicado: (2025)
Combining Reinforcement Learning and Behavior Trees for NPCs in Video Games with AMD Schola
por: Liu, Tian, et al.
Publicado: (2025)
por: Liu, Tian, et al.
Publicado: (2025)
Topology-Aware and Highly Generalizable Deep Reinforcement Learning for Efficient Retrieval in Multi-Deep Storage Systems
por: Li, Funing, et al.
Publicado: (2025)
por: Li, Funing, et al.
Publicado: (2025)
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
por: Zhang, Lunjun, et al.
Publicado: (2026)
por: Zhang, Lunjun, et al.
Publicado: (2026)
Fast Rates for Bandit PAC Multiclass Classification
por: Erez, Liad, et al.
Publicado: (2024)
por: Erez, Liad, et al.
Publicado: (2024)
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
por: Moradipari, Ahmadreza, et al.
Publicado: (2023)
por: Moradipari, Ahmadreza, et al.
Publicado: (2023)
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
por: Hu, Hao, et al.
Publicado: (2025)
por: Hu, Hao, et al.
Publicado: (2025)
Explainable Reinforcement Learning via Temporal Policy Decomposition
por: Ruggeri, Franco, et al.
Publicado: (2025)
por: Ruggeri, Franco, et al.
Publicado: (2025)
Evaluation-Time Policy Switching for Offline Reinforcement Learning
por: Neggatu, Natinael Solomon, et al.
Publicado: (2025)
por: Neggatu, Natinael Solomon, et al.
Publicado: (2025)
Ejemplares similares
-
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
por: Hennequin, Mehdi, et al.
Publicado: (2024) -
Semi-pessimistic Reinforcement Learning
por: Zhu, Jin, et al.
Publicado: (2025) -
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
por: Aouali, Imad, et al.
Publicado: (2024) -
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
por: Lee, Jaejun, et al.
Publicado: (2024) -
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
por: Hennequin, Mehdi, et al.
Publicado: (2024)