For multi-agent reinforcement learning in Markov games, knowledge extraction and sharing are key research problems. State list extracting means to calculate the optimal shared state path from state trajectories with c...For multi-agent reinforcement learning in Markov games, knowledge extraction and sharing are key research problems. State list extracting means to calculate the optimal shared state path from state trajectories with cycles. A state list extracting algorithm checks cyclic state lists of a current state in the state trajectory, condensing the optimal action set of the current state. By reinforcing the optimal action selected, the action policy of cyclic states is optimized gradually. The state list extracting is repeatedly learned and used as the experience knowledge which is shared by teams. Agents speed up the rate of convergence by experience sharing. Competition games of preys and predators are used for the experiments. The results of experiments prove that the proposed algorithms overcome the lack of experience in the initial stage, speed up learning and improve the performance.展开更多
This article shares my experience and journey in Chinese Medicine where I started back in 2014 in Malaysia for my bachelor's degree,and subsequently led me in continuing my postgraduate studies in Shanghai Univers...This article shares my experience and journey in Chinese Medicine where I started back in 2014 in Malaysia for my bachelor's degree,and subsequently led me in continuing my postgraduate studies in Shanghai University of Traditional Chinese Medicine.展开更多
In order to study the role of the new technological concept of shared experiences in the digital interactive experience of cultural heritage and apply it to the digital interactive experience of cultural heritage to s...In order to study the role of the new technological concept of shared experiences in the digital interactive experience of cultural heritage and apply it to the digital interactive experience of cultural heritage to solve the current problems in this field,starting from the mixed reality(MR) technology that the shared experiences rely on,proper software and hardware platforms were investigated and selected,a universal shared experiences solution was designed,and an experimental project based on the proposed solution was made to verify its feasibility.In the end,a proven and workable shared experiences solution was obtained.This solution included a proposed MR spatial alignment method,and it integrated the existing MR content production process and standard network synchronization functions.Furthermore,it is concluded that the introduction and reasonable use of new technologies can help the development of the digital interactive experience of cultural heritage.The shared experiences solution for the digital interactive experience of cultural heritage balances investment issues in the exhibition,display effect,and user experience.It can speed up the promotion of cultural heritage and bring the vitality of MR technology to relevant projects.展开更多
The call for the solicitation of contributions, known as "The Law on the Protection of Minors and I," was sponsored by the Red Scarf Board to Protect Students’ Rights and Interests at the Central Primary Sc...The call for the solicitation of contributions, known as "The Law on the Protection of Minors and I," was sponsored by the Red Scarf Board to Protect Students’ Rights and Interests at the Central Primary School of Majuqiao Township, Tongxian County in the suburbs of Beijing. Shown here are three contributions.展开更多
基金supported by the National Natural Science Foundation of China (61070143 61173088)
文摘For multi-agent reinforcement learning in Markov games, knowledge extraction and sharing are key research problems. State list extracting means to calculate the optimal shared state path from state trajectories with cycles. A state list extracting algorithm checks cyclic state lists of a current state in the state trajectory, condensing the optimal action set of the current state. By reinforcing the optimal action selected, the action policy of cyclic states is optimized gradually. The state list extracting is repeatedly learned and used as the experience knowledge which is shared by teams. Agents speed up the rate of convergence by experience sharing. Competition games of preys and predators are used for the experiments. The results of experiments prove that the proposed algorithms overcome the lack of experience in the initial stage, speed up learning and improve the performance.
文摘This article shares my experience and journey in Chinese Medicine where I started back in 2014 in Malaysia for my bachelor's degree,and subsequently led me in continuing my postgraduate studies in Shanghai University of Traditional Chinese Medicine.
基金supported by the National Key Research and Development Program of China (2020YFF0305304)。
文摘In order to study the role of the new technological concept of shared experiences in the digital interactive experience of cultural heritage and apply it to the digital interactive experience of cultural heritage to solve the current problems in this field,starting from the mixed reality(MR) technology that the shared experiences rely on,proper software and hardware platforms were investigated and selected,a universal shared experiences solution was designed,and an experimental project based on the proposed solution was made to verify its feasibility.In the end,a proven and workable shared experiences solution was obtained.This solution included a proposed MR spatial alignment method,and it integrated the existing MR content production process and standard network synchronization functions.Furthermore,it is concluded that the introduction and reasonable use of new technologies can help the development of the digital interactive experience of cultural heritage.The shared experiences solution for the digital interactive experience of cultural heritage balances investment issues in the exhibition,display effect,and user experience.It can speed up the promotion of cultural heritage and bring the vitality of MR technology to relevant projects.
文摘The call for the solicitation of contributions, known as "The Law on the Protection of Minors and I," was sponsored by the Red Scarf Board to Protect Students’ Rights and Interests at the Central Primary School of Majuqiao Township, Tongxian County in the suburbs of Beijing. Shown here are three contributions.
