Sequence length in LSTM

Web: https://www.reddit.com/r/reinforcementlearning/comments/ujwiai/sequence_length_in_lstm/

In this PPO-LSTM architecture, at some point there is a sequence length variable ([https://github.com/MarcoMeter/recurrent-ppo-truncated-bptt/blob/9206a97b7546ec62e668eaf67ae6d4b752e0f0ee/model.py#L79](https://github.com/MarcoMeter/recurrent-ppo-truncated-bptt/blob/9206a97b7546ec62e668eaf67ae6d4b752e0f0ee/model.py#L79)). If you look at the configs, it is always set to 8 in each environment ([https://github.com/MarcoMeter/recurrent-ppo-truncated-bptt/blob/9206a97b7546ec62e668eaf67ae6d4b752e0f0ee/configs.py#L15](https://github.com/MarcoMeter/recurrent-ppo-truncated-bptt/blob/9206a97b7546ec62e668eaf67ae6d4b752e0f0ee/configs.py#L15)). It is described as "length of the fed sequences". Can you make an example so that it is clearer what this is referring to? Thanks!

lstm reinforcementlearning