2M-kotb

PhD student at Knowledge Technology group, Hamburg University

Knowledge Technology (WTM)Hamburg, Germany

Pinned Repositories

Curiosity-CEM
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Language:Python30
DLSTM
python code to implement Deep Long-Short Term Memory
Language:Jupyter Notebook7 0 13
DLSTM2
Language:Python25 0 115
LSTM-based-Stacked-Autoencoder
Language:Python18 1 16
RL-Algorithms
Language:Python0 1 00
iris
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Language:Python788 23 2377

2M-kotb's Repositories

2M-kotb/DLSTM2
Language:Python25 0 115
2M-kotb/LSTM-based-Stacked-Autoencoder
Language:Python18 1 16
2M-kotb/DLSTM
python code to implement Deep Long-Short Term Memory
Language:Jupyter Notebook7 0 13
2M-kotb/Curiosity-CEM
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Language:Python30
2M-kotb/RL-Algorithms
Language:Python0 1 00