Computational neuroscience, Neural network, Connectionism, Machine learning, Artificial intelligence, Unsupervised learning

2010: First Journal Paper on Deep Reinforcement Learning with Policy Gradients for Long Short-Term Memory (LSTM)

On Dec 19, 2020
@hardmaru shared
RT @SchmidhuberAI: 10-year anniversary: Deep Reinforcement Learning with Policy Gradients for LSTM. Applications: @DeepMind’s Starcraft player; @OpenAI's dextrous robot hand & Dota player - @BillGates called this a huge milestone in advancing AI #deeplearning https://t.co/5RDNIB7ttv
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In 2020, we are celebrating the 10-year anniversary of the first journal paper [RPG] on Deep Reinforcement Learning (RL) with Policy Gradients for LSTM, based on work of 2007 [RPG07]. Impressive recent applications include DeepMind's Starcraft video game player and OpenAI's Dota player & ...

people.idsia.ch
On Dec 19, 2020
@hardmaru shared
RT @SchmidhuberAI: 10-year anniversary: Deep Reinforcement Learning with Policy Gradients for LSTM. Applications: @DeepMind’s Starcraft player; @OpenAI's dextrous robot hand & Dota player - @BillGates called this a huge milestone in advancing AI #deeplearning https://t.co/5RDNIB7ttv
Open

2010: First Journal Paper on Deep Reinforcement Learning with Policy Gradients for Long Short-Term Memory (LSTM)

2010: First Journal Paper on Deep Reinforcement Learning with Policy Gradients for Long Short-Term Memory (LSTM)

In 2020, we are celebrating the 10-year anniversary of the first journal paper [RPG] on Deep Reinforcement Learning (RL) with Policy Gradients for LSTM, based on work of 2007 ...

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Click here to read the article

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Contribute to souravstat/Curated-Resources development by creating an account on GitHub.

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In this Viewpoint, Geoffrey Hinton of Google’s Brain Team discusses the basics of neural networks: their underlying data structures, how they can be trained and combined to process complex ...

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