Cover Image

Model-Based Reinforcement Learning under Random Observation Delays

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karamzade, Armin, Kim, Kyungmin, Lanier, JB, Corsi, Davide, Fox, Roy
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning from Delayed Observations via World Models
by: Karamzade, Armin, et al.
Published: (2024)

Adapting World Models with Latent-State Dynamics Residuals
by: Lanier, JB, et al.
Published: (2025)

Moonwalk: Inverse-Forward Differentiation
by: Krylov, Dmitrii, et al.
Published: (2024)

Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions
by: Kim, Kyungmin, et al.
Published: (2024)

Realizable Continuous-Space Shields for Safe Reinforcement Learning
by: Kim, Kyungmin, et al.
Published: (2024)

Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games
by: Lanier, JB, et al.
Published: (2026)

Reinforcement Learning via Conservative Agent for Environments with Random Delays
by: Lee, Jongsoo, et al.
Published: (2025)

Adaptive Reinforcement Learning for Unobservable Random Delays
by: Wikman, John, et al.
Published: (2025)

Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
by: Lanier, Michael, et al.
Published: (2024)

Is there Value in Reinforcement Learning?
by: Fox, Lior, et al.
Published: (2025)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
by: Kim, Donghu, et al.
Published: (2024)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)

DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
by: Xia, Bo, et al.
Published: (2024)

The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
by: Eaton, Kenneth, et al.
Published: (2024)

Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
by: Zhao, Chenran, et al.
Published: (2026)

Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
by: Son, Jaehyeon, et al.
Published: (2025)

2048: Reinforcement Learning in a Delayed Reward Environment
by: Saligram, Prady, et al.
Published: (2025)

Inverse Delayed Reinforcement Learning
by: Zhan, Simon Sinong, et al.
Published: (2024)

Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)

Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
by: Ettori, Davide
Published: (2026)

Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
by: Di Gioia, Davide
Published: (2026)

Handling Delay in Real-Time Reinforcement Learning
by: Anokhin, Ivan, et al.
Published: (2025)

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
by: Kekić, Armin, et al.
Published: (2025)

Trajectory Modeling via Random Utility Inverse Reinforcement Learning
by: Pitombeira-Neto, Anselmo R., et al.
Published: (2021)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
by: Peng, Zhao-Han, et al.
Published: (2026)

Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
by: Marzari, Luca, et al.
Published: (2023)

The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models
by: Yeung, Joshua Au, et al.
Published: (2025)

Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
by: Ettori, Davide
Published: (2026)

Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
by: Piccoli, Elia, et al.
Published: (2025)

SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
by: Lee, Dohyeok, et al.
Published: (2024)

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
by: Wu, Qingyuan, et al.
Published: (2024)

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
by: Ge, Luise, et al.
Published: (2025)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
by: Liu, Xin, et al.
Published: (2024)

Verification-Guided Shielding for Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)

No-Regret Reinforcement Learning in Smooth MDPs
by: Maran, Davide, et al.
Published: (2024)

A Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability
by: Wang, Wuhao, et al.
Published: (2025)

Trust Region Q Adjoint Matching
by: Dong, Yonghoon, et al.
Published: (2026)

Guiding Exploration in Reinforcement Learning Through LLM-Augmented Observations
by: Jain, Vaibhav, et al.
Published: (2025)

Model-Based Reinforcement Learning Under Confounding
by: Venkatesh, Nishanth, et al.
Published: (2025)