Imagen de Portada

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Morin, Sacha, Byeon, Moonsub, Jolicoeur-Martineau, Alexia, Lachapelle, Sébastien
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Less is More: Recursive Reasoning with Tiny Networks
por: Jolicoeur-Martineau, Alexia
Publicado: (2025)

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
por: Jolicoeur-Martineau, Alexia, et al.
Publicado: (2023)

Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching
por: Akazan, Ange-Clément, et al.
Publicado: (2024)

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters
por: Zhou, Xinyu, et al.
Publicado: (2024)

On the Identifiability of Latent Action Policies
por: Lachapelle, Sébastien
Publicado: (2025)

Generating $π$-Functional Molecules Using STGG+ with Active Learning
por: Jolicoeur-Martineau, Alexia, et al.
Publicado: (2025)

Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings
por: Jolicoeur-Martineau, Alexia
Publicado: (2025)

Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
por: Jolicoeur-Martineau, Alexia, et al.
Publicado: (2024)

PopulAtion Parameter Averaging (PAPA)
por: Jolicoeur-Martineau, Alexia, et al.
Publicado: (2023)

Semi-Supervised Cross-Domain Imitation Learning
por: Chu, Li-Min, et al.
Publicado: (2026)

Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
por: Xu, Danru, et al.
Publicado: (2026)

Semi-Supervised One-Shot Imitation Learning
por: Wu, Philipp, et al.
Publicado: (2024)

Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality
por: Luo, Ge Ya, et al.
Publicado: (2024)

Maximum Entropy Semi-Supervised Inverse Reinforcement Learning
por: Audiffren, Julien, et al.
Publicado: (2026)

All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
por: Marconato, Emanuele, et al.
Publicado: (2024)

Sparse Shift Autoencoders for Identifying Concepts from Large Language Model Activations
por: Joshi, Shruti, et al.
Publicado: (2025)

Probabilistic Tiny Recursive Model
por: Sghaier, Amin, et al.
Publicado: (2026)

Sparsity regularization via tree-structured environments for disentangled representations
por: Layne, Elliot, et al.
Publicado: (2024)

Understanding Adam Requires Better Rotation Dependent Assumptions
por: Zhang, Tianyue H., et al.
Publicado: (2024)

Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
por: Tian, Senmao, et al.
Publicado: (2025)

One Pass Is Not Enough: Recursive Latent Refinement for Generative Models
por: Esmaeilzadeh, Mehdi, et al.
Publicado: (2026)

Dynamic Objects Relocalization in Changing Environments with Flow Matching
por: Argenziano, Francesco, et al.
Publicado: (2025)

Interaction Asymmetry: A General Principle for Learning Composable Abstractions
por: Brady, Jack, et al.
Publicado: (2024)

A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
por: Sokoloski, Sacha
Publicado: (2024)

In-Context Semi-Supervised Learning
por: Fan, Jiashuo, et al.
Publicado: (2025)

A Sparsity Principle for Partially Observable Causal Representation Learning
por: Xu, Danru, et al.
Publicado: (2024)

Structured Imitation Learning of Interactive Policies through Inverse Games
por: Sun, Max M., et al.
Publicado: (2025)

Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
por: Bozorgnia, Farid, et al.
Publicado: (2025)

Semi-Supervised Learning under General Causal Models
por: Moore, Archer, et al.
Publicado: (2025)

A Semi-Supervised Kernel Two-Sample Test
por: Lee, Gyumin, et al.
Publicado: (2026)

Sample-efficient Adversarial Imitation Learning
por: Jung, Dahuin, et al.
Publicado: (2023)

Causal Representation Learning in Temporal Data via Single-Parent Decoding
por: Brouillard, Philippe, et al.
Publicado: (2024)

Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
por: Hassani, Hossein, et al.
Publicado: (2024)

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control
por: Pfrommer, Daniel, et al.
Publicado: (2023)

Model-Change Active Learning in Graph-Based Semi-Supervised Learning
por: Miller, Kevin, et al.
Publicado: (2021)

Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics
por: Sokoloski, Sacha
Publicado: (2015)

Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
por: Abyaneh, Amin, et al.
Publicado: (2024)

Imitating Language via Scalable Inverse Reinforcement Learning
por: Wulfmeier, Markus, et al.
Publicado: (2024)

Multi-View Causal Representation Learning with Partial Observability
por: Yao, Dingling, et al.
Publicado: (2023)

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
por: Shao, Qian, et al.
Publicado: (2024)