Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space
Fuente:
arXiv
Saved in:
| Main Authors: | Mangannavar, Rajesh, Srinivasaraghavan, Gopalakrishnan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
by: Mangannavar, Rajesh, et al.
Published: (2025)
by: Mangannavar, Rajesh, et al.
Published: (2025)
Graph Neural Network Based Action Ranking for Planning
by: Mangannavar, Rajesh, et al.
Published: (2024)
by: Mangannavar, Rajesh, et al.
Published: (2024)
When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)
by: Kujur, Arahan
Published: (2026)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces
by: Chen, Dawei, et al.
Published: (2022)
by: Chen, Dawei, et al.
Published: (2022)
HEHRGNN: A Unified Embedding Model for Knowledge Graphs with Hyperedges and Hyper-Relational Edges
by: Rajagopalamenon, Rajesh, et al.
Published: (2026)
by: Rajagopalamenon, Rajesh, et al.
Published: (2026)
Architectural Proprioception in State Space Models: Thermodynamic Training Induces Anticipatory Halt Detection
by: Noon, Jay
Published: (2026)
by: Noon, Jay
Published: (2026)
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning
by: Li, Jiaxu, et al.
Published: (2024)
by: Li, Jiaxu, et al.
Published: (2024)
Market-Alignment Risk in Pricing Agents: Trace Diagnostics and Trace-Prior RL under Hidden Competitor State
by: Zhu, Peiying, et al.
Published: (2026)
by: Zhu, Peiying, et al.
Published: (2026)
Grokking Beyond the Euclidean Norm of Model Parameters
by: Notsawo, Pascal Jr Tikeng, et al.
Published: (2025)
by: Notsawo, Pascal Jr Tikeng, et al.
Published: (2025)
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space
by: Chen, Zitao, et al.
Published: (2025)
by: Chen, Zitao, et al.
Published: (2025)
Autonomous Deep Agent
by: Yu, Amy, et al.
Published: (2025)
by: Yu, Amy, et al.
Published: (2025)
Learning Through Noise: Why Subliminal Learning Works and When It Fails
by: Brockers, Vincent C., et al.
Published: (2026)
by: Brockers, Vincent C., et al.
Published: (2026)
Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)
by: Çelikok, Mustafa Mert, et al.
Published: (2025)
Machine Learning vs Deep Learning: The Generalization Problem
by: Bay, Yong Yi, et al.
Published: (2024)
by: Bay, Yong Yi, et al.
Published: (2024)
Expressive Value Learning for Scalable Offline Reinforcement Learning
by: Espinosa-Dice, Nicolas, et al.
Published: (2025)
by: Espinosa-Dice, Nicolas, et al.
Published: (2025)
EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks
by: Pinna, Matteo, et al.
Published: (2025)
by: Pinna, Matteo, et al.
Published: (2025)
Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
by: Ma, Zhenyao, et al.
Published: (2026)
by: Ma, Zhenyao, et al.
Published: (2026)
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
by: Filus, Katarzyna, et al.
Published: (2026)
by: Filus, Katarzyna, et al.
Published: (2026)
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
by: Hahn, Yannik, et al.
Published: (2025)
by: Hahn, Yannik, et al.
Published: (2025)
Bounded Ratio Reinforcement Learning
by: Ao, Yunke, et al.
Published: (2026)
by: Ao, Yunke, et al.
Published: (2026)
Extending NGU to Multi-Agent RL: A Preliminary Study
by: Hernandez, Juan, et al.
Published: (2025)
by: Hernandez, Juan, et al.
Published: (2025)
Why Online Reinforcement Learning is Causal
by: Schulte, Oliver, et al.
Published: (2024)
by: Schulte, Oliver, et al.
Published: (2024)
DataRater: Meta-Learned Dataset Curation
by: Calian, Dan A., et al.
Published: (2025)
by: Calian, Dan A., et al.
Published: (2025)
Understanding Goal Generalisation in Sequential Reinforcement Learning
by: Brown, Jason Ross, et al.
Published: (2026)
by: Brown, Jason Ross, et al.
Published: (2026)
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
by: Vincze, Mátyás, et al.
Published: (2024)
by: Vincze, Mátyás, et al.
Published: (2024)
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator
by: Furuyama, Ryoma, et al.
Published: (2024)
by: Furuyama, Ryoma, et al.
Published: (2024)
Evidential Deep Active Learning for Semi-Supervised Classification
by: Zhao, Shenkai, et al.
Published: (2025)
by: Zhao, Shenkai, et al.
Published: (2025)
A Simple Generalisation of the Implicit Dynamics of In-Context Learning
by: Innocenti, Francesco, et al.
Published: (2025)
by: Innocenti, Francesco, et al.
Published: (2025)
Path-Coupled Bellman Flows for Distributional Reinforcement Learning
by: Xu, Boyang, et al.
Published: (2026)
by: Xu, Boyang, et al.
Published: (2026)
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
by: Narendra, Nanjangud C., et al.
Published: (2025)
by: Narendra, Nanjangud C., et al.
Published: (2025)
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)
by: Liu, Weijie, et al.
Published: (2025)
Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
by: Arora, Rushiv
Published: (2025)
by: Arora, Rushiv
Published: (2025)
Load and Renewable Energy Forecasting Using Deep Learning for Grid Stability
by: Sarkar, Kamal
Published: (2025)
by: Sarkar, Kamal
Published: (2025)
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)
by: Zhang, Mingda, et al.
Published: (2026)
What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026)
by: Pavan, Massimo, et al.
Published: (2026)
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
by: Tian, Tian, et al.
Published: (2025)
by: Tian, Tian, et al.
Published: (2025)
Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
A Practical Approach to using Supervised Machine Learning Models to Classify Aviation Safety Occurrences
by: Siow, Bryan Y.
Published: (2025)
by: Siow, Bryan Y.
Published: (2025)
Similar Items
-
GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
by: Mangannavar, Rajesh, et al.
Published: (2025) -
Graph Neural Network Based Action Ranking for Planning
by: Mangannavar, Rajesh, et al.
Published: (2024) -
When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026) -
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024) -
Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces
by: Chen, Dawei, et al.
Published: (2022)