Knowledge-Centric Metacognitive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Arun, Schrater, Paul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structured Relational Representations
by: Kumar, Arun, et al.
Published: (2025)
by: Kumar, Arun, et al.
Published: (2025)
Relational Object-Centric Actor-Critic
by: Ugadiarov, Leonid, et al.
Published: (2023)
by: Ugadiarov, Leonid, et al.
Published: (2023)
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
by: Ringstrom, Thomas J., et al.
Published: (2025)
by: Ringstrom, Thomas J., et al.
Published: (2025)
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
by: Mosbach, Malte, et al.
Published: (2024)
by: Mosbach, Malte, et al.
Published: (2024)
Object and Relation Centric Representations for Push Effect Prediction
by: Tekden, Ahmet E., et al.
Published: (2021)
by: Tekden, Ahmet E., et al.
Published: (2021)
Object-Centric World Models Meet Monte Carlo Tree Search
by: Vakhitov, Rodion, et al.
Published: (2026)
by: Vakhitov, Rodion, et al.
Published: (2026)
Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
by: Guillen-Perez, Antonio
Published: (2025)
by: Guillen-Perez, Antonio
Published: (2025)
FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
by: Gao, Chongkai, et al.
Published: (2024)
by: Gao, Chongkai, et al.
Published: (2024)
Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
by: Spieler, Jonathan, et al.
Published: (2026)
by: Spieler, Jonathan, et al.
Published: (2026)
Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)
by: Narendra, Aditya, et al.
Published: (2026)
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
by: Serrano, Sergio A., et al.
Published: (2024)
by: Serrano, Sergio A., et al.
Published: (2024)
Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
by: Du, Jiayuan, et al.
Published: (2026)
by: Du, Jiayuan, et al.
Published: (2026)
Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
by: Alagha, Ahmed, et al.
Published: (2025)
by: Alagha, Ahmed, et al.
Published: (2025)
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning
by: Kumar, Sateesh, et al.
Published: (2025)
by: Kumar, Sateesh, et al.
Published: (2025)
Solving New Tasks by Adapting Internet Video Knowledge
by: Luo, Calvin, et al.
Published: (2025)
by: Luo, Calvin, et al.
Published: (2025)
Decoupled Action Expert: Confining Task Knowledge to the Conditioning Pathway
by: Zhou, Jian, et al.
Published: (2025)
by: Zhou, Jian, et al.
Published: (2025)
Temporally Consistent Object-Centric Learning by Contrasting Slots
by: Manasyan, Anna, et al.
Published: (2024)
by: Manasyan, Anna, et al.
Published: (2024)
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
by: Saha, Kallol, et al.
Published: (2023)
by: Saha, Kallol, et al.
Published: (2023)
KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
by: Li, Alice Kate, et al.
Published: (2025)
by: Li, Alice Kate, et al.
Published: (2025)
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
by: Tang, Chen, et al.
Published: (2021)
by: Tang, Chen, et al.
Published: (2021)
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)
by: Cornelio, Cristina, et al.
Published: (2025)
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections
by: Zha, Lihan, et al.
Published: (2023)
by: Zha, Lihan, et al.
Published: (2023)
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
by: Kalithasan, Namasivayam, et al.
Published: (2022)
by: Kalithasan, Namasivayam, et al.
Published: (2022)
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
by: Scheikl, Paul Maria, et al.
Published: (2023)
by: Scheikl, Paul Maria, et al.
Published: (2023)
A Survey of Embodied Learning for Object-Centric Robotic Manipulation
by: Zheng, Ying, et al.
Published: (2024)
by: Zheng, Ying, et al.
Published: (2024)
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
by: Gupta, Piyush, et al.
Published: (2024)
by: Gupta, Piyush, et al.
Published: (2024)
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
by: Kumari, Neha, et al.
Published: (2024)
by: Kumari, Neha, et al.
Published: (2024)
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
by: Wang, Xinrui, et al.
Published: (2025)
by: Wang, Xinrui, et al.
Published: (2025)
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
by: Wei, Chuheng, et al.
Published: (2024)
by: Wei, Chuheng, et al.
Published: (2024)
PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
by: Sahoo, Arup Kumar, et al.
Published: (2026)
by: Sahoo, Arup Kumar, et al.
Published: (2026)
Interleaved Multitask Learning with Energy Modulated Learning Progress
by: Say, Hanne, et al.
Published: (2025)
by: Say, Hanne, et al.
Published: (2025)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
FALCON: Future-Aware Learning with Contextual Object-Centric Pretraining for UAV Action Recognition
by: Xian, Ruiqi, et al.
Published: (2024)
by: Xian, Ruiqi, et al.
Published: (2024)
Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
by: Orsula, Andrej
Published: (2024)
by: Orsula, Andrej
Published: (2024)
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)
by: Keller, Leon, et al.
Published: (2025)
Learning global control of underactuated systems with Model-Based Reinforcement Learning
by: Turcato, Niccolò, et al.
Published: (2025)
by: Turcato, Niccolò, et al.
Published: (2025)
Generalization in Transfer Learning
by: Ada, Suzan Ece, et al.
Published: (2019)
by: Ada, Suzan Ece, et al.
Published: (2019)
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)
by: Wu, Kun, et al.
Published: (2024)
Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory
by: Yue, William
Published: (2024)
by: Yue, William
Published: (2024)
Similar Items
-
Structured Relational Representations
by: Kumar, Arun, et al.
Published: (2025) -
Relational Object-Centric Actor-Critic
by: Ugadiarov, Leonid, et al.
Published: (2023) -
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
by: Ringstrom, Thomas J., et al.
Published: (2025) -
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
by: Mosbach, Malte, et al.
Published: (2024) -
Object and Relation Centric Representations for Push Effect Prediction
by: Tekden, Ahmet E., et al.
Published: (2021)