PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Dongchi, Wang, Jiaqi, Li, Yang, Xia, Chunhe, Zhang, Tianle, Zhang, Kaige |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
Provable Partially Observable Reinforcement Learning with Privileged Information
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
SafeDreamer: Safe Reinforcement Learning with World Models
by: Huang, Weidong, et al.
Published: (2023)
by: Huang, Weidong, et al.
Published: (2023)
PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
by: Amiri, Mohsen, et al.
Published: (2026)
by: Amiri, Mohsen, et al.
Published: (2026)
Dexterous Grasping with Real-World Robotic Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation
by: Zhang, Tonghe, et al.
Published: (2024)
by: Zhang, Tonghe, et al.
Published: (2024)
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)
by: Liu, Xiangyu, et al.
Published: (2023)
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
by: Altabaa, Awni, et al.
Published: (2024)
by: Altabaa, Awni, et al.
Published: (2024)
Partially Observable Reinforcement Learning with Memory Traces
by: Eberhard, Onno, et al.
Published: (2025)
by: Eberhard, Onno, et al.
Published: (2025)
Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
by: Shi, Ming, et al.
Published: (2023)
by: Shi, Ming, et al.
Published: (2023)
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Learning Causal States Under Partial Observability and Perturbation
by: Li, Na, et al.
Published: (2025)
by: Li, Na, et al.
Published: (2025)
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
by: Zhang, Hongming, et al.
Published: (2023)
by: Zhang, Hongming, et al.
Published: (2023)
DRUPI: Dataset Reduction Using Privileged Information
by: Wang, Shaobo, et al.
Published: (2024)
by: Wang, Shaobo, et al.
Published: (2024)
Vision-Based Deep Reinforcement Learning of UAV Autonomous Navigation Using Privileged Information
by: Wang, Junqiao, et al.
Published: (2024)
by: Wang, Junqiao, et al.
Published: (2024)
Belief-State RWKV for Reinforcement Learning under Partial Observability
by: Xiao, Liu
Published: (2026)
by: Xiao, Liu
Published: (2026)
Zero-Shot Reinforcement Learning Under Partial Observability
by: Jeen, Scott, et al.
Published: (2025)
by: Jeen, Scott, et al.
Published: (2025)
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
by: Lanier, Michael, et al.
Published: (2024)
by: Lanier, Michael, et al.
Published: (2024)
Guided Policy Optimization under Partial Observability
by: Li, Yueheng, et al.
Published: (2025)
by: Li, Yueheng, et al.
Published: (2025)
Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning
by: Farr, Noah, et al.
Published: (2026)
by: Farr, Noah, et al.
Published: (2026)
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
by: Allegue, Daniel De Dios, et al.
Published: (2025)
by: Allegue, Daniel De Dios, et al.
Published: (2025)
FieldSeer I: Physics-Guided World Models for Long-Horizon Electromagnetic Dynamics under Partial Observability
by: Guo, Ziheng, et al.
Published: (2025)
by: Guo, Ziheng, et al.
Published: (2025)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
A Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability
by: Wang, Wuhao, et al.
Published: (2025)
by: Wang, Wuhao, et al.
Published: (2025)
Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)
by: Yang, Qisong, et al.
Published: (2023)
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
by: Song, Yuda, et al.
Published: (2025)
by: Song, Yuda, et al.
Published: (2025)
Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
by: Omi, Saki, et al.
Published: (2023)
by: Omi, Saki, et al.
Published: (2023)
Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability
by: Kiram, Firas Mohamed Elamine, et al.
Published: (2026)
by: Kiram, Firas Mohamed Elamine, et al.
Published: (2026)
Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning
by: Zhao, Yike, et al.
Published: (2026)
by: Zhao, Yike, et al.
Published: (2026)
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
Policy Bifurcation in Safe Reinforcement Learning
by: Zou, Wenjun, et al.
Published: (2024)
by: Zou, Wenjun, et al.
Published: (2024)
Privileged Sensing Scaffolds Reinforcement Learning
by: Hu, Edward S., et al.
Published: (2024)
by: Hu, Edward S., et al.
Published: (2024)
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
by: Byrd, Morgan, et al.
Published: (2025)
by: Byrd, Morgan, et al.
Published: (2025)
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks
by: Yang, Zixuan, et al.
Published: (2024)
by: Yang, Zixuan, et al.
Published: (2024)
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains
by: Tao, Ruo Yu, et al.
Published: (2025)
by: Tao, Ruo Yu, et al.
Published: (2025)
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
by: Pritz, Paul J., et al.
Published: (2025)
by: Pritz, Paul J., et al.
Published: (2025)
Conditional Sequence Modeling for Safe Reinforcement Learning
by: Bai, Wensong, et al.
Published: (2026)
by: Bai, Wensong, et al.
Published: (2026)
Similar Items
-
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025) -
Provable Partially Observable Reinforcement Learning with Privileged Information
by: Cai, Yang, et al.
Published: (2024) -
SafeDreamer: Safe Reinforcement Learning with World Models
by: Huang, Weidong, et al.
Published: (2023) -
PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
by: Amiri, Mohsen, et al.
Published: (2026) -
Dexterous Grasping with Real-World Robotic Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)