Wang, Xiangjun
- SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
2020/12/24 by Xiangjun Wang, Wang, Xiangjun, Junxiao Song +21 · 3 citations
Computer Science · Social Sciences · #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Maximum Likelihood Estimation of Stochastic Differential Equations with Random Effects Driven by Fractional Brownian Motion
2020/01/06 by Min Dai, Jinqiao Duan, Dai, Min +5 · 1 citation
Economics, Econometrics and Finance · Mathematics · #Dynamical Systems (math.DS) #FOS: Mathematics #Financial Risk and Volatility Modeling #Statistics Theory (math.ST) #Stochastic processes and financial applications #Stochastic processes and statistical mechanics
- MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
2022/09/17 by Kefan Su, Su, Kefan, Siyuan Zhou +8 · 1 citation
Computer Science · Decision Sciences · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
- Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
2022/10/25 by Ziluo Ding, Wanpeng Zhang, Ding, Ziluo +9 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Topic Modeling
- Cohomological rigidity of manifolds with torus actions: I
2020/04/05 by Fan, Feifei, Ma, Jun, Wang, Xiangjun · 1 citation
#Algebraic Geometry (math.AG) #Algebraic Topology (math.AT) #Commutative Algebra (math.AC) #FOS: Mathematics
- Parameters Inference for Nonlinear Wave Equations with Markovian Switching
2024/08/12 by Yi Zhang, Zhang, Yi, Zhikun Zhang +3 · 1 citation
Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stability and Controllability of Differential Equations