Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Saura, Marcos Negre, Allmendinger, Richard, Pan, Wei, Papamarkou, Theodore |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
by: Wood, Danny, et al.
Published: (2023)
by: Wood, Danny, et al.
Published: (2023)
Probability-Generating Function Kernels for Spherical Data
by: Papamarkou, Theodore, et al.
Published: (2021)
by: Papamarkou, Theodore, et al.
Published: (2021)
MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation
by: Rachman, Rifny, et al.
Published: (2026)
by: Rachman, Rifny, et al.
Published: (2026)
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
by: Mousa, Amr, et al.
Published: (2025)
by: Mousa, Amr, et al.
Published: (2025)
Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
by: Yaldiz, Duygu Nur, et al.
Published: (2026)
by: Yaldiz, Duygu Nur, et al.
Published: (2026)
Non-stationary and Varying-discounting Markov Decision Processes for Reinforcement Learning
by: Chen, Zhizuo, et al.
Published: (2025)
by: Chen, Zhizuo, et al.
Published: (2025)
Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)
by: Hoppe, Heiko, et al.
Published: (2025)
Counterfactual Credit Guided Bayesian Optimization
by: Wei, Qiyu, et al.
Published: (2025)
by: Wei, Qiyu, et al.
Published: (2025)
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)
by: Fang, Nan, et al.
Published: (2024)
Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis
by: Nasution, Bahrul Ilmi, et al.
Published: (2026)
by: Nasution, Bahrul Ilmi, et al.
Published: (2026)
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
by: Pan, Jingfeng, et al.
Published: (2025)
by: Pan, Jingfeng, et al.
Published: (2025)
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
by: Sommer, Emanuel, et al.
Published: (2024)
by: Sommer, Emanuel, et al.
Published: (2024)
Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
by: He, Liu
Published: (2026)
by: He, Liu
Published: (2026)
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)
by: Cimpean, Alexandra, et al.
Published: (2025)
Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)
by: Bastani, Hamsa, et al.
Published: (2021)
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
by: Vandervoort, Arthur, et al.
Published: (2025)
by: Vandervoort, Arthur, et al.
Published: (2025)
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories
by: Tirabassi, Natalie, et al.
Published: (2025)
by: Tirabassi, Natalie, et al.
Published: (2025)
TopoU-Net: a U-Net architecture for topological domains
by: Gaurav, Gaurav, et al.
Published: (2026)
by: Gaurav, Gaurav, et al.
Published: (2026)
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)
by: Liu, Jun, et al.
Published: (2026)
Covariance-Aware Transformers for Quadratic Programming and Decision Making
by: Tire, Kutay, et al.
Published: (2026)
by: Tire, Kutay, et al.
Published: (2026)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)
by: Guo, Xingche, et al.
Published: (2024)
The Human Brain as a Combinatorial Complex
by: Sánchez, Valentina, et al.
Published: (2025)
by: Sánchez, Valentina, et al.
Published: (2025)
A Typed Tensor Language for Federated Learning
by: Mailis, Theofilos, et al.
Published: (2026)
by: Mailis, Theofilos, et al.
Published: (2026)
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
by: Muhammad, Ressi Bonti, et al.
Published: (2023)
by: Muhammad, Ressi Bonti, et al.
Published: (2023)
Aligning Learning and Endogenous Decision-Making
by: Cristian, Rares, et al.
Published: (2025)
by: Cristian, Rares, et al.
Published: (2025)
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
by: Zhou, Chengmin, et al.
Published: (2025)
by: Zhou, Chengmin, et al.
Published: (2025)
Risk-Aware Decision Making in Restless Bandits: Theory and Algorithms for Planning and Learning
by: Akbarzadeh, Nima, et al.
Published: (2024)
by: Akbarzadeh, Nima, et al.
Published: (2024)
Automated Flow Pattern Classification in Multi-phase Systems Using AI and Capacitance Sensing Techniques
by: Ran, Nian, et al.
Published: (2025)
by: Ran, Nian, et al.
Published: (2025)
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)
by: Eberhardinger, Manuel, et al.
Published: (2024)
Gradient-based Sample Selection for Faster Bayesian Optimization
by: Wei, Qiyu, et al.
Published: (2025)
by: Wei, Qiyu, et al.
Published: (2025)
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem
by: Strauß, Niklas, et al.
Published: (2024)
by: Strauß, Niklas, et al.
Published: (2024)
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)
by: Dargasz, Lisa
Published: (2025)
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025)
by: Bani-Harouni, David, et al.
Published: (2025)
SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning
by: Mu, Nan, et al.
Published: (2026)
by: Mu, Nan, et al.
Published: (2026)
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)
by: Wang, Prince Zizhuang, et al.
Published: (2025)
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)
by: Wan, Hanxi, et al.
Published: (2024)
$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models
by: Voelcker, Claas A, et al.
Published: (2023)
by: Voelcker, Claas A, et al.
Published: (2023)
Intent-Context Synergy Reinforcement Learning for Autonomous UAV Decision-Making in Air Combat
by: Fu, Jiahao, et al.
Published: (2026)
by: Fu, Jiahao, et al.
Published: (2026)
Colored Markov polycategories and diagrammatic differentiation
by: Papamarkou, Theodore
Published: (2026)
by: Papamarkou, Theodore
Published: (2026)
Similar Items
-
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
by: Wood, Danny, et al.
Published: (2023) -
Probability-Generating Function Kernels for Spherical Data
by: Papamarkou, Theodore, et al.
Published: (2021) -
MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation
by: Rachman, Rifny, et al.
Published: (2026) -
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
by: Mousa, Amr, et al.
Published: (2025) -
Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
by: Yaldiz, Duygu Nur, et al.
Published: (2026)