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https://github.com/camigord/drl_papernotes

Notes and comments about Deep Reinforcement Learning papers
https://github.com/camigord/drl_papernotes

deep-reinforcement-learning hierarchical-reinforcement-learning intrinsic-motivation papers reinforcement-learning

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Notes and comments about Deep Reinforcement Learning papers

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# Deep Reinforcement Learning papernotes



> _New Hierarchical-Learning section [here](./notes/hierarchical-learning/)._



#### 2017-05

- [Curiosity-driven Exploration by Self-supervised Prediction](./notes/Intrinsic%20Motivation/Curiosity-driven%20Exploration%20by%20self-supervised%20prediction.md) [[arXiv](https://arxiv.org/abs/1705.05363)]



#### 2017-03

- [Surprised-Based Intrinsic Motivation for Deep Reinforcement Learning](./notes/Intrinsic%20Motivation/Surprised-based%20intrinsic%20motivation%20for%20DRL.md)[[arXiv](https://arxiv.org/abs/1703.01732)]

- [Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation](https://github.com/camigord/DRL_papernotes/blob/master/notes/Virtual-to-real%20%20Deep%20%20Reinforcement%20%20Learning.md) [[arXiv](https://arxiv.org/abs/1703.00420)]



#### 2017-02



- [Neural Map : Structured Memory for Deep Reinforcement Learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/NeuralMapDRL.md) [[arXiv](https://arxiv.org/abs/1702.08360)]



#### 2017-01



- Deep Recurrent Q-Learning for Partially Observable MDPs [[arXiv](https://arxiv.org/abs/1507.06527)]



#### 2016-12



- [Playing Doom with SLAM-Augmented Deep Reinforcement Learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/Playing%20Doom%20with%20SLAM-Augmented%20Deep%20Reinforcement%20Learning.md) [[arXiv](https://arxiv.org/abs/1612.00380)]

- Learning to predict where to look in interactive environments using deep recurrent q-learning [[arXiv](https://arxiv.org/abs/1612.05753)]



#### 2016-11



- [Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates](https://github.com/camigord/DRL_papernotes/blob/master/notes/Deep%20Reinforcement%20Learning%20for%20Robotic%20Manipulation%20with%20Asynchronous.md)[[arXiv](https://arxiv.org/abs/1610.00633)]

- Reinforcement Learning with Unsupervised Auxiliary Tasks [[arXiv](https://arxiv.org/abs/1611.05397)]

- [Learning to Navigate in Complex Environments](https://github.com/camigord/DRL_papernotes/blob/master/notes/Learning%20to%20Navigate%20in%20Complex%20Environments.md) [[arXiv](https://arxiv.org/abs/1611.03673)]

- Learning to reinforcement learn [[arXiv](https://arxiv.org/abs/1611.05763)]



#### 2016-10



- [Hybrid computing using a neural network with dynamic external memory](https://github.com/camigord/DRL_papernotes/blob/master/notes/Hybrid%20computing%20using%20NN%20with%20dynamic%20external%20memory.md) [[nature](http://www.nature.com/nature/journal/v538/n7626/abs/nature20101.html)]

- A Deep Hierarchical Approach to Lifelong Learning in Minecraft [[arXiv](https://arxiv.org/abs/1604.07255)]

- Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots [[arXiv](https://arxiv.org/abs/1610.01733)]



#### 2016-09



- [Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/Target-driven%20Visual%20Navigation%20in%20Indoor%20Scenes%20using%20Deep%20Reinforcement%20Learning.md) [[arXiv](https://arxiv.org/abs/1609.05143)]

- Playing FPS Games with Deep Reinforcement Learning [[arXiv](https://arxiv.org/abs/1609.05521)]



#### 2016-08



- [Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection](https://github.com/camigord/DRL_papernotes/blob/master/notes/Learning%20Hand-Eye%20Coordination%20for%20Robotic%20Grasping%20with%20Deep%20Learning%20and%20Large-Scale%20Data%20Collection.md) [[arXiv](https://arxiv.org/abs/1603.02199)]



#### 2016-05



- [Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation](https://github.com/camigord/DRL_papernotes/blob/master/notes/Hierarchical%20Deep%20Reinforcement%20Learning.md) [[arXiv](https://arxiv.org/abs/1604.06057)]

- Value Iteration Networks [[arXiv](https://arxiv.org/abs/1602.02867)]



#### 2016-04



- End-to-End Training of Deep Visuomotor Policies [[arXiv](https://arxiv.org/abs/1504.00702)]



#### 2016-02



- [Prioritized Experience Replay](https://github.com/camigord/DRL_papernotes/blob/master/notes/Prioritized%20Experience%20Replay.md) [[arXiv](https://arxiv.org/abs/1511.05952)]

- [Asynchronous Methods for Deep Reinforcement Learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/Asynchronous%20Methods%20for%20Deep%20Reinforcement%20Learning.md) [[arXiv](https://arxiv.org/abs/1602.01783)]

- Continuous control with deep reinforcement learning [[arXiv](https://arxiv.org/abs/1509.02971)]

- Graying the black box: Understanding DQNs [[arXiv](https://arxiv.org/abs/1602.02658)]



#### 2015-12



- [Deep Reinforcement Learning with Double Q-learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/Deep%20Reinforcement%20Learning%20with%20Double%20Q-learning.md) [[arXiv](https://arxiv.org/abs/1509.06461)]

- Deep Attention Recurrent Q-Network [[arXiv](https://arxiv.org/abs/1512.01693)]



#### 2015-11



- [Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control](https://github.com/camigord/DRL_papernotes/blob/master/notes/Towards%20Vision-Based%20Deep%20Reinforcement%20Learning%20for%20Robotic%20Motion%20Control.md) [[arXiv](https://arxiv.org/abs/1511.03791)]



#### 2015-02



- [Human-level control through deep reinforcement learning](https://github.com/camigord/DRL_papernotes/blob/master/notes/Human-level%20control%20through%20deep%20reinforcement%20learning.md) [[nature](http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html)]