Abstract: The present invention provides a multi-agent cooperation decision-making and training method, including the following steps: S1: encoding, by an encoder, local observations obtained by agents by using a multi-layer perceptron or a convolutional neural network as feature vectors in a receptive field; S2: calculating, by a graph convolution layer, relationship strength between the agents by using a relationship unit of a multi-headed attention mechanism, integrating, by a relationship convolution kernel of the relationship unit, the feature vectors in the receptive field into new feature vectors, and iterating the graph convolution layer for multiple times to obtain a relationship description of the multi-headed attention mechanism in a larger receptive field and at a higher order; S3: splicing the feature vectors in the receptive field and the new feature vectors integrated by the graph convolution layer, sending the spliced vectors to a value network, wherein the value network selects and performs an action d

Abstract: The present invention provides a multi-agent cooperation decision-making and training method, including the following steps: S1: encoding, by an encoder, local observations obtained by agents by using a multi-layer perceptron or a convolutional neural network as feature vectors in a receptive field; S2: calculating, by a graph convolution layer, relationship strength between the agents by using a relationship unit of a multi-headed attention mechanism, integrating, by a relationship convolution kernel of the relationship unit, the feature vectors in the receptive field into new feature vectors, and iterating the graph convolution layer for multiple times to obtain a relationship description of the multi-headed attention mechanism in a larger receptive field and at a higher order; S3: splicing the feature vectors in the receptive field and the new feature vectors integrated by the graph convolution layer, sending the spliced vectors to a value network, wherein the value network selects and performs an action d

Abstract: A degas assembly including a low pressure fluid channel for carrying a wash fluid at a first pressure, a pressurized channel for carrying eluent including a gas at a second pressure higher than the first pressure, and a degas separator defining a fluid barrier between the low pressure fluid channel and pressurized fluid channel, the separator configured to retain liquid in the pressurized fluid channel and allow gas to flow through the separator to the low pressure fluid channel. The pressurized fluid channel may extend along an outer periphery of the low pressure fluid channel. The eluent may be received from an eluent generator at a pressure of at least about 3300 psi, and in various embodiments up to about 5000 psi. A liquid chromatography system and method are also disclosed.