Christoffel Doorman

[Thomas Pierrot @thomas_pierrot]

We released the weights and downstream task datasets of the agroNT, our 1B parameters DNA foundation model for plant genomics 🧬🪴. Check out our github (https://t.co/oyMSkhXf8Q) for Jax lovers⚡❤️and our @huggingface space (https://t.co/z4uYMEec0y) for the pytorch version🤗.

[InstaDeep @instadeepai]

1/ Exciting news! Our team has just released a major update of Jumanji, our suite of diverse and challenging #RL environments written in #JAX 🔥 Check it out now and take your research to the next level 🚀

⭐ Github: https://t.co/QE7z1z5ZYS
📚 Doc: https://t.co/Smvo541iEu

[Mirco Musolesi @mircomusolesi]

This work will be presented today at 3pm. You can attend @LogConference online for free. Link here: https://t.co/Lo4rlfbI2I

[Mirco Musolesi @mircomusolesi]

Our paper with @cawdoorman, @VictorDarvariu and Steve Hailes on "Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning" will be presented this week at @LogConference 2022 that just started. #log22 #log2022 1/2

Paper: https://t.co/ffapOqqE1P

[arXiv Daily @Arxiv_Daily]

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
https://t.co/DqjI0NBw5q
by Christoffel Doorman et al. including @VictorDarvariu
#MarkovDecisionProcess #NeuralNetwork

[Mirco Musolesi @mircomusolesi]

New pre-print: "Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning".

https://t.co/6FuPmOLZDV

\w @cawdoorman @VictorDarvariu and Steve Hailes