This article continues our look at reinforcement learning by considering another algorithm, namely the Monte-Carlo. This algorithm is very similar and in fact arguably encompasses both Q-Learning and SARSA in that it can be either on-policy or off-policy. What sets it apart though is the emphasis on episodes. These simply are a way of batching the reinforcement learning cycle updates, that we introduced in this article, such that the updating of the Q-Values of the Q-Map happens less frequently. ...
The recently published paper "Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation" introduces the algorithm for the graph transformer generative adversarial model (GTGAN), which succinctly combines both of these approaches. The authors of the GTGAN algorithm address the problem of creating a realistic architectural design of a house from an input graph. The generator model they presented consists of three components: a message passing convolutional neural network ...
In the 20th century, Richard Donchian established a trend-following strategy through his studies of financial markets, which later evolved into the Donchian Channels. We briefly discussed his work in a previous article, but today we will focus on implementing the strategies associated with his theory. According to various sources, the channels are believed to encompass multiple strategies within their framework. The abundance of literature on Donchian Channels suggests the continued effectiveness ...
The article presents the results of experiments on eight real data sets, according to which ATFNet shows promising results and outperforms other state-of-the-art time series forecasting methods on many datasets. more...
In this article, we explore the powerful features of the MetaQuotes Language 5 (MQL5) Economic Calendar and how they can be integrated into algorithmic trading. The Economic Calendar, incorporated in the trading terminal, MetaTrader 5, is a crucial tool for traders, providing essential news and data that can significantly impact market movements. By understanding how to retrieve and interpret this information, we can gain an edge in forecasting market reactions to economic events and adjust ...
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