75 citations · 188 across the 7 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
Wangkun Xu, Jianhong Wang, Fei Teng
Successful machine learning involves a complete pipeline of data, model, and downstream applications. Instead of treating them separately, there has been a prominent increase of at…
cs.LG2021★ 75 cited
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning (MARL). The e…
cs.LG2019★ 73 cited
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1
Cooperative game is a critical research area in the multi-agent reinforcement learning (MARL). Global reward game is a subclass of cooperative games, where all agents aim to maximi…