activity
20192023
most citedAirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

31 citations · 74 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.RO2022

Robotic Interestingness via Human-Informed Few-Shot Object Detection

Seungchan Kim, Chen Wang, Bowen Li +1

Interestingness recognition is crucial for decision making in autonomous exploration for mobile robots. Previous methods proposed an unsupervised online learning approach that can…

cs.MA2022★ 1 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…