39 citations · 54 across the 5 of their papers we have counts for
5 papers
Dynamics-Compliant Trajectory Diffusion for Super-Nominal Payload Manipulation
Anuj Pasricha, Joewie Koh, Jay Vakil +1
Nominal payload ratings for articulated robots are typically derived from worst-case configurations, resulting in uniform payload constraints across the entire workspace. This cons…
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
Chi-Hui Lin, Joewie J. Koh, Alessandro Roncone +1
Effective multi-agent collaboration is imperative for solving complex, distributed problems. In this context, two key challenges must be addressed: first, autonomously identifying…
Cooperative Control of Mobile Robots with Stackelberg Learning
Joewie J. Koh, Guohui Ding, Christoffer Heckman +2
Multi-robot cooperation requires agents to make decisions that are consistent with the shared goal without disregarding action-specific preferences that might arise from asymmetry…
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation
Guohui Ding, Joewie J. Koh, Kelly Merckaert +5
We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed multi-agent RL approaches: distributed approxim…
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings
Joewie J. Koh, Barton Rhodes
Domain generation algorithms (DGAs) are frequently employed by malware to generate domains used for connecting to command-and-control (C2) servers. Recent work in DGA detection lev…