63 citations · 212 across the 18 of their papers we have counts for
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cs.LG2020★ 1 cited
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
Zhi Wang, Chicheng Zhang, Manish Kumar Singh +2
In many real-world applications, multiple agents seek to learn how to perform highly related yet slightly different tasks in an online bandit learning protocol. We formulate this p…
cs.LG2020★ 22 cited
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Zhi Wang, Chunlin Chen, Daoyi Dong
Evolution strategies (ES), as a family of black-box optimization algorithms, recently emerge as a scalable alternative to reinforcement learning (RL) approaches such as Q-learning…
cs.LG2020★ 63 cited
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Zhi Wang, Chunlin Chen, Daoyi Dong
A central capability of a long-lived reinforcement learning (RL) agent is to incrementally adapt its behavior as its environment changes, and to incrementally build upon previous e…