2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.MA2022★ 2 cited
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan, Zeyang Liu, Xingyu Chen +2
Due to the representation limitation of the joint Q value function, multi-agent reinforcement learning methods with linear value decomposition (LVD) or monotonic value decompositio…
cs.IR2021
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
Zeyang Liu, Ke Zhou, Jiaxin Mao +1
Conversational search systems, such as Google Assistant and Microsoft Cortana, provide a new search paradigm where users are allowed, via natural language dialogues, to communicate…
cs.IR2021
Meta-evaluation of Conversational Search Evaluation Metrics
Zeyang Liu, Ke Zhou, Max L. Wilson
Conversational search systems, such as Google Assistant and Microsoft Cortana, enable users to interact with search systems in multiple rounds through natural language dialogues. E…