Saved in:
| Main Authors: | Pradeleix, Eliott, Hosseinkhan-Boucher, Rémy, Shilova, Alena, Semeraro, Onofrio, Mathelin, Lionel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.12022 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
Neural delay differential equations: learning non-Markovian closures for partially known dynamical systems
by: Monsel, Thibault, et al.
Published: (2024)
by: Monsel, Thibault, et al.
Published: (2024)
Time and State Dependent Neural Delay Differential Equations
by: Monsel, Thibault, et al.
Published: (2023)
by: Monsel, Thibault, et al.
Published: (2023)
Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
by: Marra, Luigi, et al.
Published: (2025)
by: Marra, Luigi, et al.
Published: (2025)
AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM
by: Schwencke, Nilo, et al.
Published: (2025)
by: Schwencke, Nilo, et al.
Published: (2025)
StaQ it! Growing neural networks for Policy Mirror Descent
by: Shilova, Alena, et al.
Published: (2025)
by: Shilova, Alena, et al.
Published: (2025)
Addressing the Cold-Start Problem for Personalized Combination Drug Screening
by: de Mathelin, Antoine, et al.
Published: (2025)
by: de Mathelin, Antoine, et al.
Published: (2025)
Empirically Calibrated Conditional Independence Tests
by: Pan, Milleno, et al.
Published: (2026)
by: Pan, Milleno, et al.
Published: (2026)
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
by: Mathieu, Timothée, et al.
Published: (2023)
by: Mathieu, Timothée, et al.
Published: (2023)
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
by: de Mathelin, Antoine, et al.
Published: (2023)
by: de Mathelin, Antoine, et al.
Published: (2023)
From Data to Uncertainty Sets: a Machine Learning Approach
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Characterizing Non-Markovian Dynamics of Open Quantum Systems
by: Reddy, Sohail
Published: (2025)
by: Reddy, Sohail
Published: (2025)
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
by: Ding, Yanna, et al.
Published: (2025)
by: Ding, Yanna, et al.
Published: (2025)
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
by: de Mathelin, Antoine, et al.
Published: (2025)
by: de Mathelin, Antoine, et al.
Published: (2025)
LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
by: Van Dieren, Eliott, et al.
Published: (2026)
by: Van Dieren, Eliott, et al.
Published: (2026)
Exploratory Experience Shapes the Geometry of Predictive Representations
by: Shilova, Kseniia, et al.
Published: (2026)
by: Shilova, Kseniia, et al.
Published: (2026)
Learning Coupled Earth System Dynamics with GraphDOP
by: Boucher, Eulalie, et al.
Published: (2025)
by: Boucher, Eulalie, et al.
Published: (2025)
Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges
by: Eiras, Francisco, et al.
Published: (2025)
by: Eiras, Francisco, et al.
Published: (2025)
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
by: Kratz, Josiah C., et al.
Published: (2024)
by: Kratz, Josiah C., et al.
Published: (2024)
Variational Encoder-Decoders for Learning Latent Representations of Physical Systems
by: Venkatasubramanian, Subashree, et al.
Published: (2024)
by: Venkatasubramanian, Subashree, et al.
Published: (2024)
Markovian Circuit Tracing for Transformer State Dynamic
by: X, Abdullah
Published: (2026)
by: X, Abdullah
Published: (2026)
Extending Causal Metamodeling to a non-Markovian Queue
by: Amaranath, Pracheta, et al.
Published: (2026)
by: Amaranath, Pracheta, et al.
Published: (2026)
Streaming Federated Learning with Markovian Data
by: Huynh, Tan-Khiem, et al.
Published: (2025)
by: Huynh, Tan-Khiem, et al.
Published: (2025)
FiMMIA: scaling semantic perturbation-based membership inference across modalities
by: Emelyanov, Anton, et al.
Published: (2025)
by: Emelyanov, Anton, et al.
Published: (2025)
Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation
by: Raël, Anton, et al.
Published: (2026)
by: Raël, Anton, et al.
Published: (2026)
A Markovian Model for Learning-to-Optimize
by: Sucker, Michael, et al.
Published: (2024)
by: Sucker, Michael, et al.
Published: (2024)
Mean flow data assimilation using physics-constrained Graph Neural Networks
by: Quattromini, M., et al.
Published: (2024)
by: Quattromini, M., et al.
Published: (2024)
Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data
by: Duval, Francis, et al.
Published: (2023)
by: Duval, Francis, et al.
Published: (2023)
NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
by: Anzaki, Ryoji, et al.
Published: (2024)
by: Anzaki, Ryoji, et al.
Published: (2024)
arcjetCV: an open-source software to analyze material ablation
by: Quintart, Alexandre, et al.
Published: (2024)
by: Quintart, Alexandre, et al.
Published: (2024)
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
by: Chung, Hsing-Huan, et al.
Published: (2025)
by: Chung, Hsing-Huan, et al.
Published: (2025)
A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
by: Kobanda, Anthony, et al.
Published: (2025)
by: Kobanda, Anthony, et al.
Published: (2025)
Reinforcement Learning in Non-Markovian Environments
by: Chandak, Siddharth, et al.
Published: (2022)
by: Chandak, Siddharth, et al.
Published: (2022)
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
by: Fan, Di, et al.
Published: (2023)
by: Fan, Di, et al.
Published: (2023)
Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards
by: Topper, Noah, et al.
Published: (2024)
by: Topper, Noah, et al.
Published: (2024)
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
by: Jiao, Pengfe, et al.
Published: (2024)
by: Jiao, Pengfe, et al.
Published: (2024)
Efficient Active Imitation Learning with Random Network Distillation
by: Biré, Emilien, et al.
Published: (2024)
by: Biré, Emilien, et al.
Published: (2024)
Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning Dynamics
by: Dahal, Biraj, et al.
Published: (2025)
by: Dahal, Biraj, et al.
Published: (2025)
The Batch Complexity of Bandit Pure Exploration
by: Tuynman, Adrienne, et al.
Published: (2025)
by: Tuynman, Adrienne, et al.
Published: (2025)
Similar Items
-
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025) -
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025) -
Neural delay differential equations: learning non-Markovian closures for partially known dynamical systems
by: Monsel, Thibault, et al.
Published: (2024) -
Time and State Dependent Neural Delay Differential Equations
by: Monsel, Thibault, et al.
Published: (2023) -
Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
by: Marra, Luigi, et al.
Published: (2025)