Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization ...

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN ...

Computational Efficiency,Deep Learning,Deep Learning Models,Dependability,EEG Data,EEG Patterns,EEG Signals,Early Treatment,Epileptic Patients,False Alarm,False Alarm Rate,Long Short-term Memory,Long ...