Saved in:
| Main Authors: | He, Bowen, Xu, Xiaoan, Bozkurt, Alper Kamil, Tarokh, Vahid, Dong, Juncheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.12793 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
by: Dong, Juncheng, et al.
Published: (2026)
by: Dong, Juncheng, et al.
Published: (2026)
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
by: Gundem, Korel, et al.
Published: (2025)
by: Gundem, Korel, et al.
Published: (2025)
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
Parabolic Continual Learning
by: Yang, Haoming, et al.
Published: (2025)
by: Yang, Haoming, et al.
Published: (2025)
One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning
by: He, Bowen, et al.
Published: (2026)
by: He, Bowen, et al.
Published: (2026)
Elliptic Loss Regularization
by: Hasan, Ali, et al.
Published: (2025)
by: Hasan, Ali, et al.
Published: (2025)
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
by: Yang, Haoming, et al.
Published: (2024)
by: Yang, Haoming, et al.
Published: (2024)
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
by: Bozkurt, Alper Kamil, et al.
Published: (2025)
by: Bozkurt, Alper Kamil, et al.
Published: (2025)
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
by: Faber, Kamil, et al.
Published: (2023)
by: Faber, Kamil, et al.
Published: (2023)
Neuro-symbolic Learning Yielding Logical Constraints
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
A PDE-Informed Latent Diffusion Model for 2-m Temperature Downscaling
by: Rosu, Paul, et al.
Published: (2025)
by: Rosu, Paul, et al.
Published: (2025)
ColA: Collaborative Adaptation with Gradient Learning
by: Diao, Enmao, et al.
Published: (2024)
by: Diao, Enmao, et al.
Published: (2024)
Perceiver-based CDF Modeling for Time Series Forecasting
by: Le, Cat P., et al.
Published: (2023)
by: Le, Cat P., et al.
Published: (2023)
Conditional Average Treatment Effect Estimation Under Hidden Confounders
by: Aloui, Ahmed, et al.
Published: (2025)
by: Aloui, Ahmed, et al.
Published: (2025)
S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
by: Wu, Zihao, et al.
Published: (2025)
by: Wu, Zihao, et al.
Published: (2025)
Teleportation With Null Space Gradient Projection for Optimization Acceleration
by: Wu, Zihao, et al.
Published: (2025)
by: Wu, Zihao, et al.
Published: (2025)
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)
by: He, Haoyuan, et al.
Published: (2022)
Rethinking Token Prediction: Tree-Structured Diffusion Language Model
by: Wu, Zihao, et al.
Published: (2026)
by: Wu, Zihao, et al.
Published: (2026)
CATE Estimation With Potential Outcome Imputation From Local Regression
by: Aloui, Ahmed, et al.
Published: (2023)
by: Aloui, Ahmed, et al.
Published: (2023)
Simple Lifelong Learning Machines
by: Dey, Jayanta, et al.
Published: (2020)
by: Dey, Jayanta, et al.
Published: (2020)
In-Context Reinforcement Learning From Suboptimal Historical Data
by: Dong, Juncheng, et al.
Published: (2026)
by: Dong, Juncheng, et al.
Published: (2026)
Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)
by: Tang, Shuo, et al.
Published: (2024)
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
by: Kuiper, Patrick, et al.
Published: (2024)
by: Kuiper, Patrick, et al.
Published: (2024)
A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)
by: He, Hao-Yuan, et al.
Published: (2025)
A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
by: Cotnareanu, Joseph, et al.
Published: (2026)
by: Cotnareanu, Joseph, et al.
Published: (2026)
Offline Stochastic Optimization of Black-Box Objective Functions
by: Dong, Juncheng, et al.
Published: (2024)
by: Dong, Juncheng, et al.
Published: (2024)
Score-Based Metropolis-Hastings Algorithms
by: Aloui, Ahmed, et al.
Published: (2024)
by: Aloui, Ahmed, et al.
Published: (2024)
Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models
by: Bortolotti, Samuele, et al.
Published: (2026)
by: Bortolotti, Samuele, et al.
Published: (2026)
Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)
by: Pei, Jiyuan, et al.
Published: (2025)
PASTA: A Unified Framework for Offline Assortment Learning
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
Interpretable Classification via a Rule Network with Selective Logical Operators
by: Wei, Bowen, et al.
Published: (2024)
by: Wei, Bowen, et al.
Published: (2024)
Logically Consistent Language Models via Neuro-Symbolic Integration
by: Calanzone, Diego, et al.
Published: (2024)
by: Calanzone, Diego, et al.
Published: (2024)
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
Model-Free Learning of Safe yet Effective Controllers
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
by: Bozkurt, Alper Kamil, et al.
Published: (2021)
Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2026)
by: Gavenski, Nathan, et al.
Published: (2026)
Statistical Context Detection for Deep Lifelong Reinforcement Learning
by: Dick, Jeffery, et al.
Published: (2024)
by: Dick, Jeffery, et al.
Published: (2024)
Similar Items
-
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026) -
Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
by: Dong, Juncheng, et al.
Published: (2026) -
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019) -
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
by: Gundem, Korel, et al.
Published: (2025) -
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)