Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Mask-based Latent Reconstruction for Reinforcement Learning Tao Y u
Neural Information Processing Systems
For deep reinforcement learning (RL) from pixels, learning effective state representations is crucial for achieving high performance.
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