Reward function compression facilitates goal-dependent reinforcement learning
Fuente:
arXiv
Saved in:
| Main Authors: | Molinaro, Gaia, Collins, Anne G. E. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An introduction to reinforcement learning for neuroscience
by: Jensen, Kristopher T.
Published: (2023)
by: Jensen, Kristopher T.
Published: (2023)
Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
by: Pednekar, Amrapali, et al.
Published: (2025)
by: Pednekar, Amrapali, et al.
Published: (2025)
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning
by: Tchetchenian, Ari, et al.
Published: (2024)
by: Tchetchenian, Ari, et al.
Published: (2024)
NLP4Neuro: Sequence-to-sequence learning for neural population decoding
by: Morra, Jacob J., et al.
Published: (2025)
by: Morra, Jacob J., et al.
Published: (2025)
Prediction horizon shapes representations in predictive learning
by: Ratzon, Aviv, et al.
Published: (2025)
by: Ratzon, Aviv, et al.
Published: (2025)
Compositional meta-learning through probabilistic task inference
by: Bakermans, Jacob J. W., et al.
Published: (2025)
by: Bakermans, Jacob J. W., et al.
Published: (2025)
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
by: Zhu, Hao, et al.
Published: (2023)
by: Zhu, Hao, et al.
Published: (2023)
A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory
by: Radmard, Puria, et al.
Published: (2025)
by: Radmard, Puria, et al.
Published: (2025)
Scalable inference of functional neural connectivity at submillisecond timescales
by: Medvedeva, Arina, et al.
Published: (2025)
by: Medvedeva, Arina, et al.
Published: (2025)
A ghost mechanism: An analytical model of abrupt learning in recurrent networks
by: Dinc, Fatih, et al.
Published: (2025)
by: Dinc, Fatih, et al.
Published: (2025)
Separating the what and how of compositional computation to enable reuse and continual learning
by: Shan, Haozhe, et al.
Published: (2025)
by: Shan, Haozhe, et al.
Published: (2025)
Using machine learning methods to predict cognitive age from psychophysiological tests
by: Tyurina, Daria D., et al.
Published: (2025)
by: Tyurina, Daria D., et al.
Published: (2025)
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
by: Nan, Mu, et al.
Published: (2026)
by: Nan, Mu, et al.
Published: (2026)
Active learning of neural population dynamics using two-photon holographic optogenetics
by: Wagenmaker, Andrew, et al.
Published: (2024)
by: Wagenmaker, Andrew, et al.
Published: (2024)
Unsupervised learning of multiscale switching dynamical system models from multimodal neural data
by: Kim, DongKyu, et al.
Published: (2025)
by: Kim, DongKyu, et al.
Published: (2025)
Cortex and subcortex play distinct roles over learning when cortical memory is limited
by: Farrell, Matthew, et al.
Published: (2026)
by: Farrell, Matthew, et al.
Published: (2026)
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
by: Jalali, Parnian, et al.
Published: (2023)
by: Jalali, Parnian, et al.
Published: (2023)
Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
by: Geenjaar, Eloy, et al.
Published: (2025)
by: Geenjaar, Eloy, et al.
Published: (2025)
Construction of a classification model for dementia among Brazilian adults aged 50 and over
by: Menezes, F. S., et al.
Published: (2026)
by: Menezes, F. S., et al.
Published: (2026)
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment
by: Kamat, Anil, et al.
Published: (2025)
by: Kamat, Anil, et al.
Published: (2025)
Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies
by: Allier, Cédric, et al.
Published: (2026)
by: Allier, Cédric, et al.
Published: (2026)
Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
by: Abulikemu, Subati, et al.
Published: (2025)
by: Abulikemu, Subati, et al.
Published: (2025)
Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity
by: Trinh, Nam
Published: (2026)
by: Trinh, Nam
Published: (2026)
Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks
by: Roffet, Facundo, et al.
Published: (2024)
by: Roffet, Facundo, et al.
Published: (2024)
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
by: Zhou, Shuo, et al.
Published: (2024)
by: Zhou, Shuo, et al.
Published: (2024)
EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task
by: Sun, Xiaoxiao, et al.
Published: (2024)
by: Sun, Xiaoxiao, et al.
Published: (2024)
A Brain Wave Encodes a Thousand Tokens: Modeling Inter-Cortical Neural Interactions for Effective EEG-based Emotion Recognition
by: Kumar, Nilay, et al.
Published: (2025)
by: Kumar, Nilay, et al.
Published: (2025)
Adversarial construction as a potential solution to the experiment design problem in large task spaces
by: Godara, Prakhar, et al.
Published: (2026)
by: Godara, Prakhar, et al.
Published: (2026)
Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
by: Bishop, William E., et al.
Published: (2026)
by: Bishop, William E., et al.
Published: (2026)
POCO: Scalable Neural Forecasting through Population Conditioning
by: Duan, Yu, et al.
Published: (2025)
by: Duan, Yu, et al.
Published: (2025)
Generalizable, real-time neural decoding with hybrid state-space models
by: Ryoo, Avery Hee-Woon, et al.
Published: (2025)
by: Ryoo, Avery Hee-Woon, et al.
Published: (2025)
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
by: Lu, Ziyu, et al.
Published: (2025)
by: Lu, Ziyu, et al.
Published: (2025)
Integrative neurocybernetic modeling in the era of large-scale neuroscience
by: Park, Il Memming, et al.
Published: (2026)
by: Park, Il Memming, et al.
Published: (2026)
NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech
by: Ntampakis, Nikolaos, et al.
Published: (2025)
by: Ntampakis, Nikolaos, et al.
Published: (2025)
Does Feedback Alignment Work at Biological Timescales?
by: Bacvanski, Marc Gong, et al.
Published: (2025)
by: Bacvanski, Marc Gong, et al.
Published: (2025)
Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)
by: Song, Yue, et al.
Published: (2025)
Oscillatory Signatures of Parkinson's Disease: Central and Parietal EEG Alterations Across Multiple Frequency Bands
by: Lensky, Artem
Published: (2025)
by: Lensky, Artem
Published: (2025)
Transformer brain encoders explain human high-level visual responses
by: Adeli, Hossein, et al.
Published: (2025)
by: Adeli, Hossein, et al.
Published: (2025)
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
by: Arora, Vinam, et al.
Published: (2025)
by: Arora, Vinam, et al.
Published: (2025)
Scaling and context steer LLMs along the same computational path as the human brain
by: Raugel, Joséphine, et al.
Published: (2025)
by: Raugel, Joséphine, et al.
Published: (2025)
Similar Items
-
An introduction to reinforcement learning for neuroscience
by: Jensen, Kristopher T.
Published: (2023) -
Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
by: Pednekar, Amrapali, et al.
Published: (2025) -
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning
by: Tchetchenian, Ari, et al.
Published: (2024) -
NLP4Neuro: Sequence-to-sequence learning for neural population decoding
by: Morra, Jacob J., et al.
Published: (2025) -
Prediction horizon shapes representations in predictive learning
by: Ratzon, Aviv, et al.
Published: (2025)