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Xiao Qi Shi
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2020 – today
- 2023
- [i5]Hasham Burhani, Xiao Qi Shi, Jonathan Jaegerman, Daniel Balicki:
Scope Loss for Imbalanced Classification and RL Exploration. CoRR abs/2308.04024 (2023) - [i4]Jacob Chmura, Hasham Burhani, Xiao Qi Shi:
Information Content Exploration. CoRR abs/2310.06777 (2023) - 2022
- [c2]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Surprise Minimizing Multi-Agent Learning with Energy-based Models. NeurIPS 2022 - 2021
- [i3]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. CoRR abs/2104.00620 (2021) - 2020
- [i2]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. CoRR abs/2007.13690 (2020) - [i1]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Energy-based Surprise Minimization for Multi-Agent Value Factorization. CoRR abs/2009.09842 (2020)
2010 – 2019
- 2016
- [c1]Xiao Qi Shi, Daniel E. Davison, Raymond H. S. Kwong, Edward J. Davison:
Optimized decentralized control of large scale systems. ICCA 2016: 127-134
Coauthor Index
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