Cover Image

Multi-intention Inverse Q-learning for Interpretable Behavior Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Hao, De La Crompe, Brice, Kalweit, Gabriel, Schneider, Artur, Kalweit, Maria, Diester, Ilka, Boedecker, Joschka
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

Probabilistic Recurrent Intention Switching Model
by: Sheng, Wenyuan, et al.
Published: (2026)

Inverse Reinforcement Learning via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
by: Zhu, Yu, et al.
Published: (2025)

Fitting Reinforcement Learning Model to Behavioral Data under Bandits
by: Zhu, Hao, et al.
Published: (2025)

Representation learning in cerebellum-like structures
by: Rudelt, Lucas, et al.
Published: (2025)

Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins
by: Lima, Adriano, et al.
Published: (2026)

Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
by: Tian, Kaixi, et al.
Published: (2025)

Mouse vs. AI: A Neuroethological Benchmark for Visual Robustness and Neural Alignment
by: Schneider, Marius, et al.
Published: (2025)

Integrating Cognitive Load and Embodied Cognition Theories Through Representations as Multi-Scale Attractors
by: Gibson, David C., et al.
Published: (2026)

Empirical scaling laws in balanced networks with conductance-based synapses
by: Zhu, Vicky, et al.
Published: (2026)

Monkey Perceptogram: Reconstructing Visual Representation and Presumptive Neural Preference from Monkey Multi-electrode Arrays
by: Fei, Teng, et al.
Published: (2025)

Inverse receptive field attention for naturalistic image reconstruction from the brain
by: Le, Lynn, et al.
Published: (2025)

On Agentic Behavioral Modeling
by: Ostwald, Dirk, et al.
Published: (2026)

A mathematical model of reward-mediated learning in drug addiction
by: Chou, Tom, et al.
Published: (2022)

Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
by: Glushanina, Maria, et al.
Published: (2025)

Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
by: Gao, Xiaohui, et al.
Published: (2025)

Why does tinnitus vary with naps? A polysomnographic prospective study exploring the somatosensory hypothesis
by: Guillard, Robin, et al.
Published: (2025)

BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
by: Asadi, Mehrnaz, et al.
Published: (2025)

Goxpyriment: A Go Framework for Behavioral and Cognitive Experiments
by: Pallier, Christophe, et al.
Published: (2026)

Burst-dependent plasticity and dendritic amplification support target-based learning and hierarchical imitation learning
by: Capone, Cristiano, et al.
Published: (2022)

Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
by: He, Jieshi, et al.
Published: (2026)

Residual Gaze Behavior During Navigation in Blindness and Low Vision
by: Feng, Junchi, et al.
Published: (2025)

How Intrinsic Motivation Underlies Embodied Open-Ended Behavior
by: Moreno-Bote, Rubén, et al.
Published: (2026)

The Temporal Evolution of Modality-Independent Representations of Conceptual Categories
by: Dirani, Julien, et al.
Published: (2022)

Readout Representation: Redefining Neural Codes by Input Recovery
by: Onoo, Shunsuke, et al.
Published: (2025)

Transitive inference as probabilistic preference learning
by: Mannella, Francesco, et al.
Published: (2023)

Critical dynamics governs deep learning
by: Vock, Simon, et al.
Published: (2025)

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
by: Zhu, Yu, et al.
Published: (2024)

Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance
by: Silva, Gabriel A.
Published: (2026)

Linking Homeostasis to Reinforcement Learning: Internal State Control of Motivated Behavior
by: Yoshida, Naoto, et al.
Published: (2025)

Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
by: Klein, Thomas, et al.
Published: (2025)

Mapping Brain-Behavior Correlations in Autism Using Heat Kernel Smoothing
by: Chung, Moo K., et al.
Published: (2025)

Variational Representational Similarity Analysis (vRSA) for M/EEG
by: Lepauvre, Alex, et al.
Published: (2025)

Actionable Neural Representations: Grid Cells from Minimal Constraints
by: Dorrell, William, et al.
Published: (2022)

Driving factors of auditory category learning success
by: Wang, Nan, et al.
Published: (2025)

A Sensing Whole Brain Zebrafish Foundation Model for Neuron Dynamics and Behavior
by: Vegas, Sam Fatehmanesh, et al.
Published: (2025)

Gravity Prior and Temporal Horizon Shape Interceptive Behavior under Active Inference
by: Russo, Marta, et al.
Published: (2025)

Restricted Repetitive Behaviors in Adolescent Males with Autism: Volatility in Brain Functional Connectivities
by: Noriega, Gerardo
Published: (2025)

Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs
by: Ravishankar, Srinivas, et al.
Published: (2026)