This study proposed the novel task decomposed multi-agent twin delayed deep deterministic policy gradient (TD-MATD3) algorithm that enables UAVs execute path planning in complex multiple obstacles environments. TD-MATD3 improves upon the multi-agent twin delayed deep deterministic policy gradient (MA...
本文分析了影响MAPG算法性能的原因,提出了一种将价值函数分解的思想引入Actor-Critic框架中的多智能体分解策略梯度算法(DOP)。基于这一设想,DOP支持有效的非在线学习,并解决了离散和连续动作空间中的集中-分散不匹配和信用分配问题。并且证明了DOP批评者有足够的代表性能力来保证收敛。此外,在星际争霸II微观管理基准和...
According to this method, a laser beam intensity distribution in an in-plane direction is divided into a plurality of beam pieces having a micrometer size to form a temperature gradient in the in-plane direction and forcibly promote crystal growth in the lateral direction. With this method, ...
For instance, if input sequence is consecutively splitted into 4 parts by focal decomposition method like Fig. 6, then proportions will be {1/2, 1/4, 1/8, 1/8}. The latest sub-sequence takes the proportion of 1/8 instead of 1/16 in order to make the sum of proportions be 1...
We then propose a method to learn the weights during learning in order to capture different levels of dependencies among the agents. The experimental evaluation demonstrates that D3PG can achieve competitive or significantly improved performance compared to some widely used deep reinforcement learning ...
1. A semiconductor thin film decomposing method for decomposing an amorphous semiconductor thin film into a polycrystalline semiconductor thin film by irradiating a laser beam having a shape of a line beam to said amorphous semiconductor thin film by scanning said laser beam along a direction crossing...
Overall, BCI can be divided into several categories depending on the recording device, the type of BCI, the patterns of the signals to extract, and finally the method to use. In our work we use EEG signal to extract event-related desynchronization/synchronization (ERD/ERS) patterns of ...