13 citations · 20 across the 23 of their papers we have counts for
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cs.MA2025
Double Distillation Network for Multi-Agent Reinforcement Learning
Yang Zhou, Siying Wang, Wenyu Chen +3
Multi-agent reinforcement learning typically employs a centralized training-decentralized execution (CTDE) framework to alleviate the non-stationarity in environment. However, the…
cs.MA2025
Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
Ruoning Zhang, Siying Wang, Wenyu Chen +5
The Centralized Training with Decentralized Execution (CTDE) paradigm is widely used in cooperative multi-agent reinforcement learning. However, conventional methods based on CTDE…
cs.MA2019★ 4 cited
Engineering Token Economy with System Modeling
Zixuan Zhang
Cryptocurrencies and blockchain networks have attracted tremendous attention from their volatile price movements and the promise of decentralization. However, most projects run on…