As part of the Polkadot accelerator program run by Encode Club, we are building a decentralised events platform, where event organisers can define their rules when publishing an event, and ticket buyers can safely buy tickets without having to worry about fraud. …

Reinforcement learning has become a powerful learning framework now capable of learning complex policies in high dimensional environments. At every time step t, the agent observes the current state of the environment, sₜ , and uses the policy it is learning π(s), to inform a decision about which action, aₜ…

Ethereum is currently the most widely adopted public blockchain for decentralised applications development. I found that most information on the internet regarding Ethereum development is slightly fragmented. Therefore, in this article I would like to provide a comprehensive overview on getting started with programming on Ethereum, from setting up tools…

The use of reinforcement learning (RL) to build a stock trading agent has been a widely explored topic. Some argue that an RL agent would not be able to reliably make good decisions in the stock market, as the market is highly volatile in nature and depends on multiple external…

Bidirectional Encoder Representations from Transformers (BERT) is a major advancement in the field of Natural Language Processing (NLP) in recent years. BERT achieves good performances in many aspects of NLP, such as text classification, text summarisation and question answering. In this article, I will walk through how to fine tune…