Saved in:
| Main Authors: | Deng, Mingwei, Kyrki, Ville, Baumann, Dominik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.20153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Lightweight Crowd Model for Robot Social Navigation
by: Eskeri, Maryam Kazemi, et al.
Published: (2025)
by: Eskeri, Maryam Kazemi, et al.
Published: (2025)
Bayesian Floor Field: Transferring people flow predictions across environments
by: Verdoja, Francesco, et al.
Published: (2022)
by: Verdoja, Francesco, et al.
Published: (2022)
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
by: Guo, Yihong, et al.
Published: (2024)
by: Guo, Yihong, et al.
Published: (2024)
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022)
by: Azam, Shoaib, et al.
Published: (2022)
The Role of Higher-Order Cognitive Models in Active Learning
by: Keurulainen, Oskar, et al.
Published: (2024)
by: Keurulainen, Oskar, et al.
Published: (2024)
COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024)
by: Kargar, Eshagh, et al.
Published: (2024)
Automated Feature Selection for Inverse Reinforcement Learning
by: Baimukashev, Daulet, et al.
Published: (2024)
by: Baimukashev, Daulet, et al.
Published: (2024)
DDGC: Generative Deep Dexterous Grasping in Clutter
by: Lundell, Jens, et al.
Published: (2021)
by: Lundell, Jens, et al.
Published: (2021)
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
by: Zhou, Chengmin, et al.
Published: (2025)
by: Zhou, Chengmin, et al.
Published: (2025)
Transfer Learning for Contextual Multi-armed Bandits
by: Cai, Changxiao, et al.
Published: (2022)
by: Cai, Changxiao, et al.
Published: (2022)
Causal Contextual Bandits with Adaptive Context
by: Madhavan, Rahul, et al.
Published: (2024)
by: Madhavan, Rahul, et al.
Published: (2024)
On Transportability for Structural Causal Bandits
by: Park, Min Woo, et al.
Published: (2025)
by: Park, Min Woo, et al.
Published: (2025)
Transfer Learning for Meta-analysis Under Covariate Shift
by: Wang, Zilong, et al.
Published: (2026)
by: Wang, Zilong, et al.
Published: (2026)
Online Learning of Human Constraints from Feedback in Shared Autonomy
by: Zhu, Shibei, et al.
Published: (2024)
by: Zhu, Shibei, et al.
Published: (2024)
Decentralized Contextual Bandits with Network Adaptivity
by: Deng, Chuyun, et al.
Published: (2025)
by: Deng, Chuyun, et al.
Published: (2025)
Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)
by: Kausik, Chinmaya, et al.
Published: (2024)
Causal Covariate Shift Correction using Fisher information penalty
by: Khan, Behraj, et al.
Published: (2025)
by: Khan, Behraj, et al.
Published: (2025)
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Active Learning for Stochastic Contextual Linear Bandits
by: Brunskill, Emma, et al.
Published: (2026)
by: Brunskill, Emma, et al.
Published: (2026)
Learning When to Trust in Contextual Bandits
by: Ghasemi, Majid, et al.
Published: (2026)
by: Ghasemi, Majid, et al.
Published: (2026)
Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements
by: Le, Tran Nguyen, et al.
Published: (2020)
by: Le, Tran Nguyen, et al.
Published: (2020)
Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning
by: Farzanullah, Mohammad, et al.
Published: (2025)
by: Farzanullah, Mohammad, et al.
Published: (2025)
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
by: Bouniot, Quentin, et al.
Published: (2023)
by: Bouniot, Quentin, et al.
Published: (2023)
Contextual Decision-Making with Knapsacks Beyond the Worst Case
by: Chen, Zhaohua, et al.
Published: (2022)
by: Chen, Zhaohua, et al.
Published: (2022)
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
by: Liu, Yuhang, et al.
Published: (2022)
by: Liu, Yuhang, et al.
Published: (2022)
Sparse Nonparametric Contextual Bandits
by: Flynn, Hamish, et al.
Published: (2025)
by: Flynn, Hamish, et al.
Published: (2025)
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
by: Zhao, Zhenyu, et al.
Published: (2024)
by: Zhao, Zhenyu, et al.
Published: (2024)
Pessimistic Risk-Aware Policy Learning in Contextual Bandits
by: Wan, Yilong, et al.
Published: (2026)
by: Wan, Yilong, et al.
Published: (2026)
Graph Learning Is Suboptimal in Causal Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2025)
by: Shahverdikondori, Mohammad, et al.
Published: (2025)
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
by: Jain, Gauri, et al.
Published: (2025)
by: Jain, Gauri, et al.
Published: (2025)
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)
by: Goyal, Tanmay, et al.
Published: (2025)
Linear Contextual Bandits with Interference
by: Xu, Yang, et al.
Published: (2024)
by: Xu, Yang, et al.
Published: (2024)
Latent Preference Bandits
by: Mwai, Newton, et al.
Published: (2025)
by: Mwai, Newton, et al.
Published: (2025)
Latent Order Bandits
by: Carlsson, Emil, et al.
Published: (2026)
by: Carlsson, Emil, et al.
Published: (2026)
Causal Fine-Tuning under Latent Confounded Shift
by: Yu, Jialin, et al.
Published: (2024)
by: Yu, Jialin, et al.
Published: (2024)
Contextual Linear Bandits with Delay as Payoff
by: Zhang, Mengxiao, et al.
Published: (2025)
by: Zhang, Mengxiao, et al.
Published: (2025)
Group-Sensitive Offline Contextual Bandits
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Multiplayer Information Asymmetric Contextual Bandits
by: Chang, William, et al.
Published: (2025)
by: Chang, William, et al.
Published: (2025)
Similar Items
-
A Lightweight Crowd Model for Robot Social Navigation
by: Eskeri, Maryam Kazemi, et al.
Published: (2025) -
Bayesian Floor Field: Transferring people flow predictions across environments
by: Verdoja, Francesco, et al.
Published: (2022) -
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
by: Guo, Yihong, et al.
Published: (2024) -
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022) -
The Role of Higher-Order Cognitive Models in Active Learning
by: Keurulainen, Oskar, et al.
Published: (2024)