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Risk-sensitive finite-horizon piecewise deterministic Markov decision processes Journal article
Operations Research Letters, 2019
Authors:  Yonghui Huang;  Zhaotong Lian;  Xianping Guo
Favorite | View/Download:6/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/11/05
Piecewise Deterministic Markov Decision Processes  Unbounded Transition Rates  Hjb Equation  Optimal Policy  Risk Sensitive  Finite Horizon  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite | View/Download:916/78 | TC[WOS]:12 TC[Scopus]:0 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
A fast preconditioned policy iteration method for solving the tempered fractional HJB equation governing American options valuation Journal article
Computers and Mathematics with Applications, 2017,Volume: 73,Issue: 9,Page: 1932-1944
Authors:  Xu Chen;  Wenfei Wang;  Deng Ding;  Siu-Long Lei
Favorite | View/Download:18/0 | TC[WOS]:4 TC[Scopus]:0 | Submit date:2019/05/22
American Options  Hamilton–jacobi–bellman Equation  Preconditioner  Tempered Fractional Derivative  Unconditional Stability