Cover Image

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Can, Che, Tong, Peng, Hongwu, Li, Yiyuan, Metaxas, Dimitris N., Pavone, Marco
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS
by: Jin, Can, et al.
Published: (2025)

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning
by: Jin, Can, et al.
Published: (2025)

MILES: Making Imitation Learning Easy with Self-Supervision
by: Papagiannis, Georgios, et al.
Published: (2024)

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation
by: Zhou, Yang, et al.
Published: (2026)

RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
by: Patrikar, Jay, et al.
Published: (2024)

Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
by: Dafnis, Konstantinos M., et al.
Published: (2025)

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
by: Chen, Yang, et al.
Published: (2024)

RIZE: Adaptive Regularization for Imitation Learning
by: Karimi, Adib, et al.
Published: (2025)

Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)

Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective
by: Gonzalez, Emmanuel Anaya, et al.
Published: (2025)

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
by: Lee, Nayoung, et al.
Published: (2025)

Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)

Denoising-based Contractive Imitation Learning
by: Shen, Macheng, et al.
Published: (2025)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
by: Yang, Hanlin, et al.
Published: (2024)

Implicit In-context Learning
by: Li, Zhuowei, et al.
Published: (2024)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)

Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression
by: Zhang, Ziqi, et al.
Published: (2024)

Unsupervisedly Learned Representations: Should the Quest be Over?
by: Nissani, Daniel N.
Published: (2020)

Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
by: Bounhar, Abdelaziz, et al.
Published: (2025)

Confounded Causal Imitation Learning with Instrumental Variables
by: Zeng, Yan, et al.
Published: (2025)

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
by: Wang, Yibin, et al.
Published: (2024)

Deep Reinforcement Learning for Artificial Upwelling Energy Management
by: Zhang, Yiyuan, et al.
Published: (2023)

Imitation Learning via Focused Satisficing
by: Shah, Rushit N., et al.
Published: (2025)

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
by: Gu, Difei, et al.
Published: (2025)

SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
by: Chatzoudis, Gerasimos, et al.
Published: (2025)

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
by: Wang, Huandong, et al.
Published: (2024)

Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)

Imitation Bootstrapped Reinforcement Learning
by: Hu, Hengyuan, et al.
Published: (2023)

Quantifying Generalisation in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2025)

Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
by: Cai, Haoyuan, et al.
Published: (2025)

PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement Learning
by: Dong, Daize, et al.
Published: (2026)

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025)

Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)

Adversarial Imitation Learning via Boosting
by: Chang, Jonathan D., et al.
Published: (2024)

Noise-Guided Transport for Imitation Learning
by: Blondé, Lionel, et al.
Published: (2025)

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

Boolean Satisfiability via Imitation Learning
by: Zhang, Zewei, et al.
Published: (2025)

Imitation Learning as Return Distribution Matching
by: Lazzati, Filippo, et al.
Published: (2025)

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
by: Gu, Difei, et al.
Published: (2025)