seminar2016-2017
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Classics
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Mastering the game of Go with deep neural networks and tree search
http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html
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Human-level control through deep reinforcement learning
http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html
Yannick
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Policy Gradients / Actor-Critic
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Asynchronous Methods for Deep Reinforcement Learning
https://arxiv.org/pdf/1602.01783.pdf
Fouad
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Continuous control with deep reinforcement learning
https://arxiv.org/abs/1509.02971
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Exploration
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Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
https://arxiv.org/abs/1507.00814
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Deep Exploration via Bootstrapped DQN
https://arxiv.org/pdf/1602.04621v3.pdf
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Variational Information Maximizing Exploration
https://arxiv.org/abs/1605.09674
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Transfer
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Progressive Neural Networks
https://arxiv.org/abs/1606.04671
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Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
https://arxiv.org/pdf/1511.06342v4.pdf
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Successor Features for Transfer in Reinforcement Learning
https://arxiv.org/pdf/1606.05312.pdf
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Policy Distillation
https://arxiv.org/pdf/1511.06295.pdf
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Other
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Generative Adversarial Imitation Learning
https://arxiv.org/pdf/1606.03476v1.pdf
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Learning to Communicate with Deep Multi-Agent Reinforcement Learning
https://arxiv.org/pdf/1605.06676v2.pdf
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Dueling Network Architectures for Deep Reinforcement Learning
https://arxiv.org/pdf/1511.06581v3.pdf
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Value Iteration Networks
https://arxiv.org/pdf/1602.02867v2.pdf
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Hybrid computing using a neural network with dynamic external memory
http://www.nature.com/nature/journal/vaop/ncurrent/pdf/nature20101.pdf
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Continuous Deep Q-Learning with Model-based Acceleration
https://arxiv.org/pdf/1603.00748v1.pdf
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