Saved in:
| Main Authors: | Waltz, Martin, Okhrin, Ostap |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2201.08078 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-organized free-flight arrival for urban air mobility
by: Waltz, Martin, et al.
Published: (2024)
by: Waltz, Martin, et al.
Published: (2024)
Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)
by: Li, Dianzhao, et al.
Published: (2025)
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
by: Li, Dianzhao, et al.
Published: (2023)
by: Li, Dianzhao, et al.
Published: (2023)
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
by: Waltz, Martin, et al.
Published: (2023)
by: Waltz, Martin, et al.
Published: (2023)
Two-step dynamic obstacle avoidance
by: Hart, Fabian, et al.
Published: (2023)
by: Hart, Fabian, et al.
Published: (2023)
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
by: Li, Dianzhao, et al.
Published: (2023)
by: Li, Dianzhao, et al.
Published: (2023)
An open-source framework for data-driven trajectory extraction from AIS data -- the $α$-method
by: Paulig, Niklas, et al.
Published: (2024)
by: Paulig, Niklas, et al.
Published: (2024)
Stagewise crop yield prediction with multisource functional indices
by: Jing Zou, et al.
Published: (2026)
by: Jing Zou, et al.
Published: (2026)
Grafting: Making Random Forests Consistent
by: Waltz, Nicholas
Published: (2024)
by: Waltz, Nicholas
Published: (2024)
Autonomous Driving Small-Scale Cars: A Survey of Recent Development
by: Li, Dianzhao, et al.
Published: (2024)
by: Li, Dianzhao, et al.
Published: (2024)
Dynamic tail risk forecasting: what do realized skewness and kurtosis add?
by: Gallo, Giampiero, et al.
Published: (2024)
by: Gallo, Giampiero, et al.
Published: (2024)
MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning
by: Chen, Guangli, et al.
Published: (2026)
by: Chen, Guangli, et al.
Published: (2026)
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning
by: Radwan, Ahmed, et al.
Published: (2024)
by: Radwan, Ahmed, et al.
Published: (2024)
Active Sequential Two-Sample Testing
by: Li, Weizhi, et al.
Published: (2023)
by: Li, Weizhi, et al.
Published: (2023)
Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning
by: Sidahmed, Baraah A. M., et al.
Published: (2024)
by: Sidahmed, Baraah A. M., et al.
Published: (2024)
Restricted Block Permutation for Two-Sample Testing
by: Ho, Jungwoo
Published: (2025)
by: Ho, Jungwoo
Published: (2025)
Credal Two-Sample Tests of Epistemic Uncertainty
by: Chau, Siu Lun, et al.
Published: (2024)
by: Chau, Siu Lun, et al.
Published: (2024)
Sample Selection Bias in Machine Learning for Healthcare
by: Chauhan, Vinod Kumar, et al.
Published: (2024)
by: Chauhan, Vinod Kumar, et al.
Published: (2024)
E-Valuating Classifier Two-Sample Tests
by: Pandeva, Teodora, et al.
Published: (2022)
by: Pandeva, Teodora, et al.
Published: (2022)
Variable Selection for Kernel Two-Sample Tests
by: Wang, Jie, et al.
Published: (2023)
by: Wang, Jie, et al.
Published: (2023)
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
by: Wang, Mianchu, et al.
Published: (2024)
by: Wang, Mianchu, et al.
Published: (2024)
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
by: Pranger, Stefan, et al.
Published: (2024)
by: Pranger, Stefan, et al.
Published: (2024)
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
by: Yoshihara, Hiroshi, et al.
Published: (2025)
by: Yoshihara, Hiroshi, et al.
Published: (2025)
A Two-Sample Test of Text Generation Similarity
by: Xu, Jingbin, et al.
Published: (2025)
by: Xu, Jingbin, et al.
Published: (2025)
On the Reuse Bias in Off-Policy Reinforcement Learning
by: Ying, Chengyang, et al.
Published: (2022)
by: Ying, Chengyang, et al.
Published: (2022)
Reducing Popularity Influence by Addressing Position Bias
by: Dzhoha, Andrii, et al.
Published: (2024)
by: Dzhoha, Andrii, et al.
Published: (2024)
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
by: Fang, Ronglong, et al.
Published: (2024)
by: Fang, Ronglong, et al.
Published: (2024)
General Frameworks for Conditional Two-Sample Testing
by: Lee, Seongchan, et al.
Published: (2024)
by: Lee, Seongchan, et al.
Published: (2024)
Kernel Two-Sample Tests for Manifold Data
by: Cheng, Xiuyuan, et al.
Published: (2021)
by: Cheng, Xiuyuan, et al.
Published: (2021)
Advanced Tutorial: Label-Efficient Two-Sample Tests
by: Li, Weizhi, et al.
Published: (2025)
by: Li, Weizhi, et al.
Published: (2025)
A Semi-Supervised Kernel Two-Sample Test
by: Lee, Gyumin, et al.
Published: (2026)
by: Lee, Gyumin, et al.
Published: (2026)
Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)
by: Chatterjee, Anirban, et al.
Published: (2023)
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023)
by: Kwon, Soonwoo, et al.
Published: (2023)
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
by: Wei, Qi, et al.
Published: (2024)
by: Wei, Qi, et al.
Published: (2024)
AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement Learning
by: Maheshwari, Mansi, et al.
Published: (2025)
by: Maheshwari, Mansi, et al.
Published: (2025)
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
by: Luan, Yao, et al.
Published: (2025)
by: Luan, Yao, et al.
Published: (2025)
Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
by: Wan, Jia, et al.
Published: (2024)
by: Wan, Jia, et al.
Published: (2024)
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
by: Gao, Shiqing, et al.
Published: (2026)
by: Gao, Shiqing, et al.
Published: (2026)
Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning
by: Ganesh, Swetha, et al.
Published: (2026)
by: Ganesh, Swetha, et al.
Published: (2026)
Addressing Discretization-Induced Bias in Demographic Prediction
by: Dong, Evan, et al.
Published: (2024)
by: Dong, Evan, et al.
Published: (2024)
Similar Items
-
Self-organized free-flight arrival for urban air mobility
by: Waltz, Martin, et al.
Published: (2024) -
Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025) -
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
by: Li, Dianzhao, et al.
Published: (2023) -
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
by: Waltz, Martin, et al.
Published: (2023) -
Two-step dynamic obstacle avoidance
by: Hart, Fabian, et al.
Published: (2023)