activity
20182021
most citedTransparency and Explanation in Deep Reinforcement Learning Neural Networks

13 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2021★ 1 cited

Adaptive Agent Architecture for Real-time Human-Agent Teaming

Tianwei Ni, Huao Li, Siddharth Agrawal +6

Teamwork is a set of interrelated reasoning, actions and behaviors of team members that facilitate common objectives. Teamwork theory and experiments have resulted in a set of stat…

cs.RO2021

Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning

Ankur Deka, Wenhao Luo, Huao Li +2

Leader-follower navigation is a popular class of multi-robot algorithms where a leader robot leads the follower robots in a team. The leader has specialized capabilities or mission…

cs.LG2020★ 3 cited

Predicting Human Strategies in Simulated Search and Rescue Task

Vidhi Jain, Rohit Jena, Huao Li +4

In a search and rescue scenario, rescuers may have different knowledge of the environment and strategies for exploration. Understanding what is inside a rescuer's mind will enable…

cs.AI2020★ 1 cited

Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System

Xinzhi Wang, Huao Li, Hui Zhang +2

Recently, there has been increasing interest in transparency and interpretability in Deep Reinforcement Learning (DRL) systems. Verbal explanations, as the most natural way of comm…

cs.LG2018★ 13 cited

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Rahul Iyer, Yuezhang Li, Huao Li +3

Autonomous AI systems will be entering human society in the near future to provide services and work alongside humans. For those systems to be accepted and trusted, the users shoul…