:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Mehlman, Cameron, Falco, Gregory
Formato:	Preprint
Publicado:	2024
Materias:	Robotics
Acceso en línea:	https://arxiv.org/abs/2409.17443
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

I Can Hear You Coming: RF Sensing for Uncooperative Satellite Evasion
por: Mehlman, Cameron, et al.
Publicado: (2025)

QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking
por: Lee, Yunwoo, et al.
Publicado: (2023)

Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning
por: Holgado-Alvarez, Jose-Luis, et al.
Publicado: (2025)

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening
por: Kulkarni, Amar, et al.
Publicado: (2024)

LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
por: Kobayashi, Taisuke
Publicado: (2024)

Learning Coordinated Maneuver in Adversarial Environments
por: Hu, Zechen, et al.
Publicado: (2024)

Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
por: Ayabe, Shingo, et al.
Publicado: (2025)

Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning
por: Oberst, Jan, et al.
Publicado: (2024)

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning
por: Li, Zexin, et al.
Publicado: (2026)

Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement Learning
por: Kim, Taewoo, et al.
Publicado: (2025)

Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior
por: Wu, Yuanye, et al.
Publicado: (2026)

Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning
por: Oh, Donggeon David, et al.
Publicado: (2026)

Learning to Walk and Fly with Adversarial Motion Priors
por: L'Erario, Giuseppe, et al.
Publicado: (2023)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
por: Nguyen, Thanh, et al.
Publicado: (2024)

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
por: Wu, Zixuan, et al.
Publicado: (2024)

Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
por: Shi, Jiyuan, et al.
Publicado: (2025)

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

Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
por: Ma, Jianmina, et al.
Publicado: (2024)

Machine Learning Argument of Latitude Error Model for LEO Satellite Orbit and Covariance Correction
por: Moody, Alex, et al.
Publicado: (2026)

Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control
por: Hariry, Matteo El, et al.
Publicado: (2025)

Adversarial Machine Learning Threats to Spacecraft
por: Thummala, Rajiv, et al.
Publicado: (2024)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
por: Bai, Fengshuo, et al.
Publicado: (2024)

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
por: Zhang, Zongyuan, et al.
Publicado: (2025)

Model Predictive Adversarial Imitation Learning for Planning from Observation
por: Han, Tyler, et al.
Publicado: (2025)

Learning Bipedal Walking on a Quadruped Robot via Adversarial Motion Priors
por: Peng, Tianhu, et al.
Publicado: (2024)

Learning Multi-Skill Legged Locomotion Using Conditional Adversarial Motion Priors
por: Huang, Ning, et al.
Publicado: (2025)

Manipulate as Human: Learning Task-oriented Manipulation Skills by Adversarial Motion Priors
por: Ma, Ziqi, et al.
Publicado: (2025)

Multimodal Adversarial Quality Policy for Safe Grasping
por: Xie, Kunlin, et al.
Publicado: (2026)

Generative Modeling for Adversarial Lane-Change Scenarios
por: Zhang, Chuancheng, et al.
Publicado: (2025)

Adversarial Robots as Creative Collaborators
por: Lee, Shayla, et al.
Publicado: (2024)

Keep on Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training
por: Zhang, Yang, et al.
Publicado: (2025)

Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning
por: Huang, Siyuan, et al.
Publicado: (2025)

Multi-Robot Coordination with Adversarial Perception
por: Bahrami, Rayan, et al.
Publicado: (2025)

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation
por: Zhao, Ke, et al.
Publicado: (2024)

Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles
por: Saffary, Mohammadali, et al.
Publicado: (2024)

Adversarial Game-Theoretic Algorithm for Dexterous Grasp Synthesis
por: Chen, Yu, et al.
Publicado: (2025)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
por: Turcato, Niccolò, et al.
Publicado: (2025)

Mutual Information Tracks Policy Coherence in Reinforcement Learning
por: Reid, Cameron, et al.
Publicado: (2025)

A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
por: Peterson, Isaac, et al.
Publicado: (2025)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
por: Tang, Cheng, et al.
Publicado: (2024)