Cover Image

Self-evolved Imitation Learning in Simulated World

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Yifan, Cen, Jun, Chen, Jing, Lu, Zhihe
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)

Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
by: Zhang, Yu, et al.
Published: (2025)

GBC: Generalized Behavior-Cloning Framework for Whole-Body Humanoid Imitation
by: Yao, Yifei, et al.
Published: (2025)

Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)

RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)

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

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)

Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)

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

Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)

GRAIL: Goal Recognition Alignment through Imitation Learning
by: Elhadad, Osher, et al.
Published: (2026)

Cross-Domain Imitation Learning via Optimal Transport
by: Fickinger, Arnaud, et al.
Published: (2021)

Model-Based Runtime Monitoring with Interactive Imitation Learning
by: Liu, Huihan, et al.
Published: (2023)

Imitation Learning from Observation with Automatic Discount Scheduling
by: Liu, Yuyang, et al.
Published: (2023)

IDIL: Imitation Learning of Intent-Driven Expert Behavior
by: Seo, Sangwon, et al.
Published: (2024)

Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
by: Guo, Ke, et al.
Published: (2025)

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
by: Minghao, Zhang, et al.
Published: (2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
by: Levy, Jacob, et al.
Published: (2026)

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

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
by: Zare, Maryam, et al.
Published: (2023)

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Vision-Language Foundation Models as Effective Robot Imitators
by: Li, Xinghang, et al.
Published: (2023)

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
by: Liu, Yuejiang, et al.
Published: (2026)

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

Imitation Learning Inputting Image Feature to Each Layer of Neural Network
by: Yamane, Koki, et al.
Published: (2024)

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023)

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)

A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
by: Yang, Ruihan, et al.
Published: (2023)

A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
by: Cao, Shengfan, et al.
Published: (2025)

Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
by: Kawaharazuka, Kento, et al.
Published: (2024)