activity
20202026
most citedExploration in Deep Reinforcement Learning: A Survey

514 citations · 515 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models

Chanyoung Kim, Minwoo Kim, Minseok Kang +2

Vision-Language-Action (VLA) models achieve strong performance in robotic manipulation by leveraging pre-trained vision-language backbones. However, in downstream robotic settings,…

cs.RO2025★ 1 cited

RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation

Minwoo Kim, Geunsik Bae, Jinwoo Lee +5

This paper introduces a learning-based visual planner for agile drone flight in cluttered environments. The proposed planner generates collision-free waypoints in milliseconds, ena…

eess.SY2024

A Stochastic Robust Adaptive Systems Level Approach to Stabilizing Large-Scale Uncertain Markovian Jump Linear Systems

SooJean Han, Minwoo M. Kim, Ieun Choo

We propose a unified framework for robustly and adaptively stabilizing large-scale networked uncertain Markovian jump linear systems (MJLS) under external disturbances and mode swi…

cs.LG2022★ 514 cited

Exploration in Deep Reinforcement Learning: A Survey

Pawel Ladosz, Lilian Weng, Minwoo Kim +1

This paper reviews exploration techniques in deep reinforcement learning. Exploration techniques are of primary importance when solving sparse reward problems. In sparse reward pro…

math.AP2020

Geometric series expansion of the Neumann-Poincaré operator: application to composite materials

Elena Cherkaev, Minwoo Kim, Mikyoung Lim

The Neumann-Poincaré operator, a singular integral operator on the boundary of a domain, naturally appears when one solves a conductivity transmission problem via the boundary inte…