Towards Effective Planning Strategies for Dynamic Opinion Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Muppasani, Bharath, Nag, Protik, Narayanan, Vignesh, Srivastava, Biplav, Huhns, Michael N. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
by: Muppasani, Bharath, et al.
Published: (2023)
by: Muppasani, Bharath, et al.
Published: (2023)
Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
by: Muppasani, Bharath, et al.
Published: (2025)
by: Muppasani, Bharath, et al.
Published: (2025)
Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation
by: Nag, Protik, et al.
Published: (2026)
by: Nag, Protik, et al.
Published: (2026)
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
by: Widener, Michael, et al.
Published: (2025)
by: Widener, Michael, et al.
Published: (2025)
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
by: Pallagani, Vishal, et al.
Published: (2024)
by: Pallagani, Vishal, et al.
Published: (2024)
Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
by: Kumar, Vivek, et al.
Published: (2025)
by: Kumar, Vivek, et al.
Published: (2025)
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
by: Srivastava, Biplav, et al.
Published: (2024)
by: Srivastava, Biplav, et al.
Published: (2024)
A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON
by: Nagpal, Vansh, et al.
Published: (2024)
by: Nagpal, Vansh, et al.
Published: (2024)
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
by: Lakkaraju, Kausik, et al.
Published: (2024)
by: Lakkaraju, Kausik, et al.
Published: (2024)
Graph Neural Diffusion via Generalized Opinion Dynamics
by: Hevapathige, Asela, et al.
Published: (2025)
by: Hevapathige, Asela, et al.
Published: (2025)
Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
by: Lakkaraju, Kausik, et al.
Published: (2025)
by: Lakkaraju, Kausik, et al.
Published: (2025)
Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
by: Hossen, Md Abir, et al.
Published: (2026)
by: Hossen, Md Abir, et al.
Published: (2026)
An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
by: Sun, Haochen, et al.
Published: (2025)
by: Sun, Haochen, et al.
Published: (2025)
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
by: Reddy, Abbavaram Gowtham, et al.
Published: (2023)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2023)
Towards Real-Time 2D Mapping: Harnessing Drones, AI, and Computer Vision for Advanced Insights
by: Agnur, Bharath Kumar
Published: (2024)
by: Agnur, Bharath Kumar
Published: (2024)
Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble
by: Kumthekar, Amit, et al.
Published: (2025)
by: Kumthekar, Amit, et al.
Published: (2025)
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks
by: Pallagani, Vishal, et al.
Published: (2024)
by: Pallagani, Vishal, et al.
Published: (2024)
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
by: Kao, Chia-Hsiang, et al.
Published: (2024)
by: Kao, Chia-Hsiang, et al.
Published: (2024)
End-to-end PDDL Planning with Hardcoded and Dynamic Agents
by: La Malfa, Emanuele, et al.
Published: (2025)
by: La Malfa, Emanuele, et al.
Published: (2025)
Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach
by: Kalamkar, Pratik N., et al.
Published: (2025)
by: Kalamkar, Pratik N., et al.
Published: (2025)
Comparative Evaluation of Applicability Domain Definition Methods for Regression Models
by: Khurshid, Shakir, et al.
Published: (2024)
by: Khurshid, Shakir, et al.
Published: (2024)
SAVER: A Toolbox for Sampling-Based, Probabilistic Verification of Neural Networks
by: Sivaramakrishnan, Vignesh, et al.
Published: (2024)
by: Sivaramakrishnan, Vignesh, et al.
Published: (2024)
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models
by: Parekh, Tanmay, et al.
Published: (2024)
by: Parekh, Tanmay, et al.
Published: (2024)
Opinion-Guided Reinforcement Learning
by: Dagenais, Kyanna, et al.
Published: (2024)
by: Dagenais, Kyanna, et al.
Published: (2024)
Towards Universal Neural Likelihood Inference
by: Brahmavar, Shreyas Bhat, et al.
Published: (2025)
by: Brahmavar, Shreyas Bhat, et al.
Published: (2025)
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
by: Lingam, Vijay, et al.
Published: (2026)
by: Lingam, Vijay, et al.
Published: (2026)
Query Brand Entity Linking in E-Commerce Search
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
Bayesian Flow Networks
by: Graves, Alex, et al.
Published: (2023)
by: Graves, Alex, et al.
Published: (2023)
Thinking Forward and Backward: Effective Backward Planning with Large Language Models
by: Ren, Allen Z., et al.
Published: (2024)
by: Ren, Allen Z., et al.
Published: (2024)
RanDeS: Randomized Delta Superposition for Multi-Model Compression
by: Zhou, Hangyu, et al.
Published: (2025)
by: Zhou, Hangyu, et al.
Published: (2025)
On Sample-Efficient Generalized Planning via Learned Transition Models
by: Gupta, Nitin, et al.
Published: (2026)
by: Gupta, Nitin, et al.
Published: (2026)
Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
by: Yang, Yuan-Chih, et al.
Published: (2025)
by: Yang, Yuan-Chih, et al.
Published: (2025)
On the Weight Dynamics of Deep Normalized Networks
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2023)
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2023)
Towards Effective and Efficient Graph Alignment without Supervision
by: Chen, Songyang, et al.
Published: (2026)
by: Chen, Songyang, et al.
Published: (2026)
Evaluating LLMs Capabilities Towards Understanding Social Dynamics
by: Tahir, Anique, et al.
Published: (2024)
by: Tahir, Anique, et al.
Published: (2024)
Can Kernel Methods Explain How the Data Affects Neural Collapse?
by: Kothapalli, Vignesh, et al.
Published: (2024)
by: Kothapalli, Vignesh, et al.
Published: (2024)
DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend
by: Srivastava, Ajitesh
Published: (2023)
by: Srivastava, Ajitesh
Published: (2023)
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
by: Bettker, R. V., et al.
Published: (2022)
by: Bettker, R. V., et al.
Published: (2022)
Retrosynthetic Planning with Dual Value Networks
by: Liu, Guoqing, et al.
Published: (2023)
by: Liu, Guoqing, et al.
Published: (2023)
Similar Items
-
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
by: Muppasani, Bharath, et al.
Published: (2023) -
Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
by: Muppasani, Bharath, et al.
Published: (2025) -
Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation
by: Nag, Protik, et al.
Published: (2026) -
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
by: Widener, Michael, et al.
Published: (2025) -
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
by: Pallagani, Vishal, et al.
Published: (2024)