On Sample-Efficient Generalized Planning via Learned Transition Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Gupta, Nitin, Pallagani, Vishal, Aydin, John A., Srivastava, Biplav |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
par: Pallagani, Vishal, et autres
Publié: (2025)
par: Pallagani, Vishal, et autres
Publié: (2025)
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks
par: Pallagani, Vishal, et autres
Publié: (2024)
par: Pallagani, Vishal, et autres
Publié: (2024)
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
par: Srivastava, Biplav, et autres
Publié: (2024)
par: Srivastava, Biplav, et autres
Publié: (2024)
A Neurosymbolic Fast and Slow Architecture for Graph Coloring
par: Khandelwal, Vedant, et autres
Publié: (2024)
par: Khandelwal, Vedant, et autres
Publié: (2024)
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
par: Muppasani, Bharath, et autres
Publié: (2023)
par: Muppasani, Bharath, et autres
Publié: (2023)
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
par: Pallagani, Vishal, et autres
Publié: (2024)
par: Pallagani, Vishal, et autres
Publié: (2024)
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
par: Widener, Michael, et autres
Publié: (2025)
par: Widener, Michael, et autres
Publié: (2025)
Neurosymbolic AI for Enhancing Instructability in Generative AI
par: Sheth, Amit, et autres
Publié: (2024)
par: Sheth, Amit, et autres
Publié: (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
par: Nagpal, Vansh, et autres
Publié: (2024)
par: Nagpal, Vansh, et autres
Publié: (2024)
Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs
par: Marwah, Riju, et autres
Publié: (2025)
par: Marwah, Riju, et autres
Publié: (2025)
Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
par: Lakkaraju, Kausik, et autres
Publié: (2025)
par: Lakkaraju, Kausik, et autres
Publié: (2025)
Towards Effective Planning Strategies for Dynamic Opinion Networks
par: Muppasani, Bharath, et autres
Publié: (2024)
par: Muppasani, Bharath, et autres
Publié: (2024)
Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
par: Kumar, Vivek, et autres
Publié: (2025)
par: Kumar, Vivek, et autres
Publié: (2025)
Fundamental Limits of Black-Box Safety Evaluation: Information-Theoretic and Computational Barriers from Latent Context Conditioning
par: Srivastava, Vishal
Publié: (2026)
par: Srivastava, Vishal
Publié: (2026)
Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
par: Muppasani, Bharath, et autres
Publié: (2025)
par: Muppasani, Bharath, et autres
Publié: (2025)
BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes
par: Nagpal, Vansh, et autres
Publié: (2024)
par: Nagpal, Vansh, et autres
Publié: (2024)
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
par: Vuruma, Sai Krishna Revanth, et autres
Publié: (2024)
par: Vuruma, Sai Krishna Revanth, et autres
Publié: (2024)
Quantifying Automation Risk in High-Automation AI Systems: A Bayesian Framework for Failure Propagation and Optimal Oversight
par: Srivastava, Vishal, et autres
Publié: (2026)
par: Srivastava, Vishal, et autres
Publié: (2026)
GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
par: Gupta, Nitin, et autres
Publié: (2025)
par: Gupta, Nitin, et autres
Publié: (2025)
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
par: Lakkaraju, Kausik, et autres
Publié: (2024)
par: Lakkaraju, Kausik, et autres
Publié: (2024)
Toward Cognitive and Immersive Systems: Experiments in a Cognitive Microworld
par: Peveler, Matthew, et autres
Publié: (2017)
par: Peveler, Matthew, et autres
Publié: (2017)
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
par: Nayyar, Rashmeet Kaur, et autres
Publié: (2024)
par: Nayyar, Rashmeet Kaur, et autres
Publié: (2024)
Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
par: Lakkaraju, Kausik, et autres
Publié: (2025)
par: Lakkaraju, Kausik, et autres
Publié: (2025)
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
par: Hori, Toshiaki, et autres
Publié: (2025)
par: Hori, Toshiaki, et autres
Publié: (2025)
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
par: Bettker, R. V., et autres
Publié: (2022)
par: Bettker, R. V., et autres
Publié: (2022)
Efficient Test-time Inference for Generative Planning Models
par: Gieselmann, Robert, et autres
Publié: (2026)
par: Gieselmann, Robert, et autres
Publié: (2026)
Sample-Efficient Reinforcement Learning with Symmetry-Guided Demonstrations for Robotic Manipulation
par: Enayati, Amir M. Soufi, et autres
Publié: (2023)
par: Enayati, Amir M. Soufi, et autres
Publié: (2023)
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
par: Valluru, Siva Likitha, et autres
Publié: (2023)
par: Valluru, Siva Likitha, et autres
Publié: (2023)
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings
par: Karia, Rushang, et autres
Publié: (2024)
par: Karia, Rushang, et autres
Publié: (2024)
Generating Query-Relevant Document Summaries via Reinforcement Learning
par: Yadav, Nitin, et autres
Publié: (2025)
par: Yadav, Nitin, et autres
Publié: (2025)
Learning the Value of Value Learning
par: London, Alex John, et autres
Publié: (2025)
par: London, Alex John, et autres
Publié: (2025)
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
par: Zhang, Yang, et autres
Publié: (2025)
par: Zhang, Yang, et autres
Publié: (2025)
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
par: Mondal, Washim Uddin, et autres
Publié: (2024)
par: Mondal, Washim Uddin, et autres
Publié: (2024)
Efficient LLM Collaboration via Planning
par: Lee, Byeongchan, et autres
Publié: (2025)
par: Lee, Byeongchan, et autres
Publié: (2025)
Automated Auditing of Hospital Discharge Summaries for Care Transitions
par: Dasula, Akshat, et autres
Publié: (2026)
par: Dasula, Akshat, et autres
Publié: (2026)
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
par: Gandhi, Sanket, et autres
Publié: (2024)
par: Gandhi, Sanket, et autres
Publié: (2024)
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
par: Aichmüller, Michael, et autres
Publié: (2026)
par: Aichmüller, Michael, et autres
Publié: (2026)
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
par: Namkoong, Hongseok, et autres
Publié: (2020)
par: Namkoong, Hongseok, et autres
Publié: (2020)
Knowledge Graph Based Repository-Level Code Generation
par: Athale, Mihir, et autres
Publié: (2025)
par: Athale, Mihir, et autres
Publié: (2025)
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
par: Shah, Naman, et autres
Publié: (2024)
par: Shah, Naman, et autres
Publié: (2024)
Documents similaires
-
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
par: Pallagani, Vishal, et autres
Publié: (2025) -
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks
par: Pallagani, Vishal, et autres
Publié: (2024) -
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
par: Srivastava, Biplav, et autres
Publié: (2024) -
A Neurosymbolic Fast and Slow Architecture for Graph Coloring
par: Khandelwal, Vedant, et autres
Publié: (2024) -
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
par: Muppasani, Bharath, et autres
Publié: (2023)