Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Agrawal, Akash, McComb, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization
by: Agrawal, Akash, et al.
Published: (2025)
by: Agrawal, Akash, et al.
Published: (2025)
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
by: Jain, Yash Patawari, et al.
Published: (2024)
by: Jain, Yash Patawari, et al.
Published: (2024)
Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
by: Xu, Zeda, et al.
Published: (2026)
by: Xu, Zeda, et al.
Published: (2026)
Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces
by: Baldwin, Martha, et al.
Published: (2024)
by: Baldwin, Martha, et al.
Published: (2024)
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
by: Ma, Kevin, et al.
Published: (2024)
by: Ma, Kevin, et al.
Published: (2024)
Value Augmented Sampling for Language Model Alignment and Personalization
by: Han, Seungwook, et al.
Published: (2024)
by: Han, Seungwook, et al.
Published: (2024)
Evaluating Few-Shot Temporal Reasoning of LLMs for Human Activity Prediction in Smart Environments
by: Doctorarastoo, Maral, et al.
Published: (2026)
by: Doctorarastoo, Maral, et al.
Published: (2026)
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
by: Agrawal, Rishabh
Published: (2025)
by: Agrawal, Rishabh
Published: (2025)
Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI
by: Harland, Hadassah, et al.
Published: (2024)
by: Harland, Hadassah, et al.
Published: (2024)
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
by: Li, Chengao, et al.
Published: (2025)
by: Li, Chengao, et al.
Published: (2025)
GenPlan: Generative Sequence Models as Adaptive Planners
by: Karthikeyan, Akash, et al.
Published: (2024)
by: Karthikeyan, Akash, et al.
Published: (2024)
Adaptive Experimental Design for Policy Learning
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
by: Zeng, Zhichen, et al.
Published: (2023)
by: Zeng, Zhichen, et al.
Published: (2023)
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
by: Rens, Gavin B.
Published: (2025)
by: Rens, Gavin B.
Published: (2025)
Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems
by: Xu, Liuyun, et al.
Published: (2025)
by: Xu, Liuyun, et al.
Published: (2025)
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
by: Liang, Ren-Wei, et al.
Published: (2025)
by: Liang, Ren-Wei, et al.
Published: (2025)
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
Scalable On-Policy Reinforcement Learning via Adaptive Batch Scaling
by: Park, Jongchan
Published: (2026)
by: Park, Jongchan
Published: (2026)
Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling
by: Li, Dexun, et al.
Published: (2023)
by: Li, Dexun, et al.
Published: (2023)
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
by: Russo, Alessio, et al.
Published: (2025)
by: Russo, Alessio, et al.
Published: (2025)
Dictionary Learning: The Complexity of Learning Sparse Superposed Features with Feedback
by: Kumar, Akash
Published: (2025)
by: Kumar, Akash
Published: (2025)
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
by: Liu, Xinjie, et al.
Published: (2025)
by: Liu, Xinjie, et al.
Published: (2025)
Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning
by: Pravetz, Thomas
Published: (2026)
by: Pravetz, Thomas
Published: (2026)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
by: Kim, Dahun, et al.
Published: (2025)
by: Kim, Dahun, et al.
Published: (2025)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
Hierarchical Orchestra of Policies
by: Cannon, Thomas P, et al.
Published: (2024)
by: Cannon, Thomas P, et al.
Published: (2024)
Learning from B Cell Evolution: Adaptive Multi-Expert Diffusion for Antibody Design via Online Optimization
by: Feng, Hanqi, et al.
Published: (2025)
by: Feng, Hanqi, et al.
Published: (2025)
Adaptive Policy Backbone via Shared Network
by: Park, Bumgeun, et al.
Published: (2025)
by: Park, Bumgeun, et al.
Published: (2025)
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)
by: Covone, Stefano, et al.
Published: (2025)
Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation
by: Mridul, Mohidul Haque, et al.
Published: (2024)
by: Mridul, Mohidul Haque, et al.
Published: (2024)
Adaptive Policy Synchronization for Scalable Reinforcement Learning
by: Lafuente-Mercado, Rodney
Published: (2025)
by: Lafuente-Mercado, Rodney
Published: (2025)
Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment
by: Xu, Wenzhe, et al.
Published: (2026)
by: Xu, Wenzhe, et al.
Published: (2026)
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
by: Deuschel, Jannik, et al.
Published: (2023)
by: Deuschel, Jannik, et al.
Published: (2023)
Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion
by: Ding, Xiaojian, et al.
Published: (2025)
by: Ding, Xiaojian, et al.
Published: (2025)
Deep Reinforcement Learning from Hierarchical Preference Design
by: Bukharin, Alexander, et al.
Published: (2023)
by: Bukharin, Alexander, et al.
Published: (2023)
Learning Smooth Distance Functions via Queries
by: Kumar, Akash, et al.
Published: (2024)
by: Kumar, Akash, et al.
Published: (2024)
Similar Items
-
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization
by: Agrawal, Akash, et al.
Published: (2025) -
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
by: Jain, Yash Patawari, et al.
Published: (2024) -
Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
by: Xu, Zeda, et al.
Published: (2026) -
Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces
by: Baldwin, Martha, et al.
Published: (2024) -
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
by: Ma, Kevin, et al.
Published: (2024)