activity
20152022
most citedRobust Deep Reinforcement Learning with Adversarial Attacks

121 citations · 500 across the 18 of their papers we have counts for

collaborators

25 papers

cs.LG20221 cited

Dynamic Graph Node Classification via Time Augmentation

Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh +3

Node classification for graph-structured data aims to classify nodes whose labels are unknown. While studies on static graphs are prevalent, few studies have focused on dynamic gra…

cs.CV20227 cited

Last-Mile Embodied Visual Navigation

Justin Wasserman, Karmesh Yadav, Girish Chowdhary +2

Realistic long-horizon tasks like image-goal navigation involve exploratory and exploitative phases. Assigned with an image of the goal, an embodied agent must explore to discover…

cs.RO20226 cited

Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion

Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary +1

Despite the rapid advancement of navigation algorithms, mobile robots often produce anomalous behaviors that can lead to navigation failures. The ability to detect such anomalous b…

cs.RO202224 cited

Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment

Shivani Kamtikar, Samhita Marri, Benjamin Walt +3

For soft continuum arms, visual servoing is a popular control strategy that relies on visual feedback to close the control loop. However, robust visual servoing is challenging as i…

cs.MA20221 cited

Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning

Seung Hyun Kim, Neale Van Stralen, Girish Chowdhary +1

Multi-agent reinforcement learning (MARL) is a promising framework for solving complex tasks with many agents. However, a key challenge in MARL is defining private utility function…

eess.SY20223 cited

Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication

Federico M. Zegers, Runhan Sun, Girish Chowdhary +1

Distributed state estimation is examined for a sensor network tasked with reconstructing a system's state through the use of a distributed and event-triggered observer. Each agent…