Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Akgül, Abdullah, Haußmann, Manuel, Kandemir, Melih |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
by: Akgül, Abdullah, et al.
Published: (2025)
by: Akgül, Abdullah, et al.
Published: (2025)
PAC-Bayesian Soft Actor-Critic Learning
by: Tasdighi, Bahareh, et al.
Published: (2023)
by: Tasdighi, Bahareh, et al.
Published: (2023)
Distributional Active Inference
by: Akgül, Abdullah, et al.
Published: (2026)
by: Akgül, Abdullah, et al.
Published: (2026)
ObjectRL: An Object-Oriented Reinforcement Learning Codebase
by: Baykal, Gulcin, et al.
Published: (2025)
by: Baykal, Gulcin, et al.
Published: (2025)
Continual Learning of Multi-modal Dynamics with External Memory
by: Akgül, Abdullah, et al.
Published: (2022)
by: Akgül, Abdullah, et al.
Published: (2022)
A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration
by: Haussmann, Manuel, et al.
Published: (2026)
by: Haussmann, Manuel, et al.
Published: (2026)
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
by: Werge, Nicklas, et al.
Published: (2023)
by: Werge, Nicklas, et al.
Published: (2023)
Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
by: Boock, Magnus Victor, et al.
Published: (2026)
by: Boock, Magnus Victor, et al.
Published: (2026)
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2025)
by: Vincent, Théo, et al.
Published: (2025)
Deep Exploration with PAC-Bayes
by: Tasdighi, Bahareh, et al.
Published: (2024)
by: Tasdighi, Bahareh, et al.
Published: (2024)
Adaptive Ensemble Aggregation for Actor-Critics
by: Werge, Nicklas, et al.
Published: (2025)
by: Werge, Nicklas, et al.
Published: (2025)
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
by: Asan, Busra, et al.
Published: (2024)
by: Asan, Busra, et al.
Published: (2024)
Deep Actor-Critics with Tight Risk Certificates
by: Tasdighi, Bahareh, et al.
Published: (2025)
by: Tasdighi, Bahareh, et al.
Published: (2025)
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
by: Flynn, Hamish, et al.
Published: (2023)
by: Flynn, Hamish, et al.
Published: (2023)
Improving Actor-Critic Training with Steerable Action-Value Approximation Errors
by: Tasdighi, Bahareh, et al.
Published: (2024)
by: Tasdighi, Bahareh, et al.
Published: (2024)
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
by: Qiao, Zhongjian, et al.
Published: (2024)
by: Qiao, Zhongjian, et al.
Published: (2024)
Selective Uncertainty Propagation in Offline RL
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2023)
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2023)
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
by: Khattar, Vanshaj, et al.
Published: (2024)
by: Khattar, Vanshaj, et al.
Published: (2024)
Disentanglement with Factor Quantized Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2024)
by: Baykal, Gulcin, et al.
Published: (2024)
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)
by: Baykal, Gulcin, et al.
Published: (2023)
Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
by: Baran, Orhun Buğra, et al.
Published: (2026)
by: Baran, Orhun Buğra, et al.
Published: (2026)
Efficient Offline Reinforcement Learning: First Imitate, then Improve
by: Jelley, Adam, et al.
Published: (2024)
by: Jelley, Adam, et al.
Published: (2024)
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
by: Dawood, Tareen, et al.
Published: (2024)
by: Dawood, Tareen, et al.
Published: (2024)
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness
by: Wen, Xiaoyu, et al.
Published: (2023)
by: Wen, Xiaoyu, et al.
Published: (2023)
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2026)
by: Bui, Ha Manh, et al.
Published: (2026)
Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)
by: Srinivasan, Padmanaba, et al.
Published: (2024)
Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)
by: Hou, Yiwen, et al.
Published: (2024)
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)
by: Li, Chenhao, et al.
Published: (2025)
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
by: Lin, Haoxin, et al.
Published: (2024)
by: Lin, Haoxin, et al.
Published: (2024)
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
by: Sims, Anya, et al.
Published: (2024)
by: Sims, Anya, et al.
Published: (2024)
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
by: He, Shenghong
Published: (2025)
by: He, Shenghong
Published: (2025)
Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation
by: Haußmann, Manuel, et al.
Published: (2026)
by: Haußmann, Manuel, et al.
Published: (2026)
Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
by: Ni, Tianwei, et al.
Published: (2025)
by: Ni, Tianwei, et al.
Published: (2025)
Latent variable model for high-dimensional point process with structured missingness
by: Sinelnikov, Maksim, et al.
Published: (2024)
by: Sinelnikov, Maksim, et al.
Published: (2024)
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
by: Wang, Qi, et al.
Published: (2023)
by: Wang, Qi, et al.
Published: (2023)
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)
by: Guo, Siyuan, et al.
Published: (2023)
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning
by: Roy, Srinjoy, et al.
Published: (2024)
by: Roy, Srinjoy, et al.
Published: (2024)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
Similar Items
-
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
by: Akgül, Abdullah, et al.
Published: (2025) -
PAC-Bayesian Soft Actor-Critic Learning
by: Tasdighi, Bahareh, et al.
Published: (2023) -
Distributional Active Inference
by: Akgül, Abdullah, et al.
Published: (2026) -
ObjectRL: An Object-Oriented Reinforcement Learning Codebase
by: Baykal, Gulcin, et al.
Published: (2025) -
Continual Learning of Multi-modal Dynamics with External Memory
by: Akgül, Abdullah, et al.
Published: (2022)