Long short-term memory (LSTM) has been widely adopted in tasks with sequence data, such as speech recognition and language modeling. LSTM brought significant accuracy improvement by introducing ...

python reinforcement-learning tensorflow acme deep-reinforcement-learning pytorch dqn ray masking ppo drl-frameworks rainbow-dqn rllib soft-actor-critic tf-agents lstm-ppo custom-models model-mask ...

Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting contributes to ...