CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management

Nov 10, 2021 1 min read

Citylearn Challenge

This is the PyTorch implementation for PikaPika team,

Credits

Design: Jie Fu, Bingchan Zhao, Yunbo Wang

Implementation: Bingchan Zhao, Yunbo Wang

Discussion: Jie Fu, Bingchan Zhao, Yunbo Wang, Hao Dong, Zihan Ding

Lead: Jie Fu, Hao Dong

GitHub

reinforcement learning Challenge

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management

Citylearn Challenge

Credits

GitHub

John

Scraping comments from the political section of popular Nigerian blog (Nairaland), and saving in a CSV file

TaCL: Improve BERT Pre-training with Token-aware Contrastive Learning

Citylearn Challenge

Credits

GitHub

Scraping comments from the political section of popular Nigerian blog (Nairaland), and saving in a CSV file

TaCL: Improve BERT Pre-training with Token-aware Contrastive Learning

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