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@@ -490,7 +490,9 @@
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47. [Serpent.AI - Game agent framework: Use any video game as a deep learning sandbox](https://github.com/SerpentAI/SerpentAI)
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48. [Caffe2 - A New Lightweight, Modular, and Scalable Deep Learning Framework](https://github.com/caffe2/caffe2)
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49. [deeplearn.js - Hardware-accelerated deep learning and linear algebra (NumPy) library for the web](https://github.com/PAIR-code/deeplearnjs)
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-50. [albumentations - A fast and framework agnostic image augmentation library](https://github.com/albu/albumentations)
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+50. [TensorForce - A TensorFlow library for applied reinforcement learning](https://github.com/reinforceio/tensorforce)
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+51. [Coach - Reinforcement Learning Coach by Intel® AI Lab](https://github.com/NervanaSystems/coach)
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+52. [albumentations - A fast and framework agnostic image augmentation library](https://github.com/albu/albumentations)
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### Tools
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@@ -508,7 +510,7 @@
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5. [Caffe DockerFile](https://github.com/tleyden/docker/tree/master/caffe)
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6. [TorontoDeepLEarning convnet](https://github.com/TorontoDeepLearning/convnet)
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8. [gfx.js](https://github.com/clementfarabet/gfx.js)
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-9. [Torch7 Cheat sheet](https://github.com/torch/torch7/wiki/Cheatsheet)
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+9. [Torch7 Cheat sheet](https://github.com/torch/torch7/wiki/Cheatsheet)
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10. [Misc from MIT's 'Advanced Natural Language Processing' course](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-864-advanced-natural-language-processing-fall-2005/)
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11. [Misc from MIT's 'Machine Learning' course](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/lecture-notes/)
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12. [Misc from MIT's 'Networks for Learning: Regression and Classification' course](http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-520-a-networks-for-learning-regression-and-classification-spring-2001/)
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