17 citations · 36 across the 8 of their papers we have counts for
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cs.LG2021★ 5 cited
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen, Ervin Teng, Vincent-Pierre Berges +5
The creation and destruction of agents in cooperative multi-agent reinforcement learning (MARL) is a critically under-explored area of research. Current MARL algorithms often assum…
cs.LG2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang, Nima Salehi Sadghiani, Zhuo Tao +1
From the ad network standpoint, a user's activity is a multi-type sequence of temporal events consisting of event types and time intervals. Understanding user patterns in ad networ…