7 citations · 15 across the 11 of their papers we have counts for
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cs.LG2022
Multi-trainer Interactive Reinforcement Learning System
Zhaori Guo, Timothy J. Norman, Enrico H. Gerding
Interactive reinforcement learning can effectively facilitate the agent training via human feedback. However, such methods often require the human teacher to know what is the corre…
cs.MA2022★ 7 cited
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni +9
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS). We have made substantial sci…