activity
20132023
most citedTDM: Trustworthy Decision-Making via Interpretability Enhancement

22 citations · 69 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2023

Measuring Acoustics with Collaborative Multiple Agents

Yinfeng Yu, Changan Chen, Lele Cao +2

As humans, we hear sound every second of our life. The sound we hear is often affected by the acoustics of the environment surrounding us. For example, a spacious hall leads to mor…

cs.LG2021★ 22 cited

TDM: Trustworthy Decision-Making via Interpretability Enhancement

Daoming Lyu, Fangkai Yang, Hugh Kwon +3

Human-robot interactive decision-making is increasingly becoming ubiquitous, and trust is an influential factor in determining the reliance on autonomy. However, it is not reasonab…

cs.AI2019★ 2 cited

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming

Daoming Lyu, Fangkai Yang, Bo Liu +1

Recent successes of Reinforcement Learning (RL) allow an agent to learn policies that surpass human experts but suffers from being time-hungry and data-hungry. By contrast, human l…

cs.LO2019★ 3 cited

Proceedings 35th International Conference on Logic Programming (Technical Communications)

Bart Bogaerts, Esra Erdem, Paul Fodor +7

Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all ar…

cs.LO2019

Introduction to the 35th International Conference on Logic Programming Special Issue

Esra Erdem, Andrea Formisano, German Vidal +1

We are proud to introduce this special issue of Theory and Practice of Logic Programming (TPLP), dedicated to the regular papers accepted for the 35th International Conference on L…

cs.AI2019

A Joint Planning and Learning Framework for Human-Aided Decision-Making

Daoming Lyu, Fangkai Yang, Bo Liu +1

Conventional reinforcement learning (RL) allows an agent to learn policies via environmental rewards only, with a long and slow learning curve, especially at the beginning stage. O…