Evolved Policy Gradients

We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning agents, which can enable fast training on novel tasks. Agents trained with EPG can succeed at basic tasks at test time that were outside their training…

EMA12 and EMA26 explained | Exponential moving average

A moving average is a general method of summarizing numerical values over time. We have already seen that candlesticks summarize prices over time giving us ohlc values for each period, and moving averages are combined with candlesticks to give us another value for each period….