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Fix a typo

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tarvos21 authored and tlbtlbtlb committed Apr 4, 2017
1 parent 7f1f135 commit f62e3b0e8475d8d25c459a4c348501bdf0593427
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  1. +1 −1 docs/agents.md
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@@ -25,7 +25,7 @@ This is a very basic DQN (with experience replay) implementation, which uses Ope
Simple, fast and easy to extend DQN implementation using [Neon](https://github.com/NervanaSystems/neon) deep learning library. Comes with out-of-box tools to train, test and visualize models. For details see [this blog post](http://www.nervanasys.com/deep-reinforcement-learning-with-neon/) or check out the [repo](https://github.com/tambetm/simple_dqn).
## AgentNet
A library that allows you to develop custom deep/convolutional/recurrent reinforcement learning agent with full integration with Theano/Lasagne. Also contains a toolkit for various reinforcement reinforcement learning algorithms, policies, memory augmentations, etc.
A library that allows you to develop custom deep/convolutional/recurrent reinforcement learning agent with full integration with Theano/Lasagne. Also contains a toolkit for various reinforcement learning algorithms, policies, memory augmentations, etc.
- The repo's here: [AgentNet](https://github.com/yandexdataschool/AgentNet)
- [A step-by-step demo for Atari SpaceInvaders ](https://github.com/yandexdataschool/AgentNet/blob/master/examples/Playing%20Atari%20with%20Deep%20Reinforcement%20Learning%20%28OpenAI%20Gym%29.ipynb)

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