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OpenAI and Microsoft

OpenAI and Microsoft

#Exploration: A study of count-based exploration for deep reinforcement learning

#Exploration: A study of count-based exploration for deep reinforcement learning

On the quantitative analysis of decoder-based generative models

On the quantitative analysis of decoder-based generative models

A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

RL²: Fast reinforcement learning via slow reinforcement learning

RL²: Fast reinforcement learning via slow reinforcement learning

Variational lossy autoencoder

Variational lossy autoencoder

Extensions and limitations of the neural GPU

Extensions and limitations of the neural GPU

Semi-supervised knowledge transfer for deep learning from private training data

Semi-supervised knowledge transfer for deep learning from private training data

Report from the self-organizing conference

Report from the self-organizing conference

Transfer from simulation to real world through learning deep inverse dynamics model

Transfer from simulation to real world through learning deep inverse dynamics model

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OpenAI and Microsoft

OpenAI and Microsoft

9 years ago 1 Add to circle

#Exploration: A study of count-based exploration for deep reinforcement learning

#Exploration: A study of count-based exploration f...

9 years ago 1 Add to circle

On the quantitative analysis of decoder-based generative models

On the quantitative analysis of decoder-based gene...

9 years ago 1 Add to circle

A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

A connection between generative adversarial networ...

9 years ago 1 Add to circle

RL²: Fast reinforcement learning via slow reinforcement learning

RL²: Fast reinforcement learning via slow reinforc...

9 years ago 1 Add to circle

Variational lossy autoencoder

Variational lossy autoencoder

9 years ago 1 Add to circle

Extensions and limitations of the neural GPU

Extensions and limitations of the neural GPU

9 years ago 1 Add to circle

Semi-supervised knowledge transfer for deep learning from private training data

Semi-supervised knowledge transfer for deep learni...

9 years ago 1 Add to circle

Report from the self-organizing conference

Report from the self-organizing conference

9 years ago 1 Add to circle

Transfer from simulation to real world through learning deep inverse dynamics model

Transfer from simulation to real world through lea...

9 years ago 1 Add to circle

Infrastructure for deep learning

Infrastructure for deep learning

9 years ago 1 Add to circle

Machine Learning Unconference

Machine Learning Unconference

9 years ago 1 Add to circle

Special projects

Special projects

9 years ago 1 Add to circle

Concrete AI safety problems

Concrete AI safety problems

9 years ago 1 Add to circle

OpenAI technical goals

OpenAI technical goals

9 years ago 1 Add to circle

Generative models

Generative models

9 years ago 1 Add to circle

Adversarial training methods for semi-supervised text classification

Adversarial training methods for semi-supervised t...

1 decade ago 1 Add to circle

OpenAI Gym Beta

OpenAI Gym Beta

1 decade ago 1 Add to circle