RNN

Recurrent Neural Network — a neural network that processes sequential data by maintaining a hidden state that is updated at each timestep. RNNs can, in principle, model arbitrary-length sequences, but vanilla RNNs suffer from vanishing gradients. LSTM and GRU variants address this. In robotics, RNNs provide memory for partially observable tasks but are being replaced by transformers.

See this in practice: the Robotics Academy →