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I am aware of keras, 'block' and a few others Python libraries for neural networks which do Reinforcement Learning among others. But is there a library than can make the task of visualisations easy? Particularly in 3D modelling of agents/environment,Seeing the simulations etc... I can see a few reinforcement learning videos online that show the simulated agent/environment but either they have made visual models from the ground up or used some other language/technology...(or they are very old). Open AI gym was one such platform where you can place and train your agents but I believe it's more for creating the learning algorithm than for visual simulation and environment.

  • Anurag, please edit your question, it is very hard to understand. Use proper interpunction and language (Not n where you mean and. What is nn?). Add links and references (e.g. those videos). Also: (what) are you willing to pay? Frankly, I don't even understand what visualizations you mean that are related to reinforcement learning. – user416 Jun 15 '16 at 12:37
  • updated. thanks for pointing that out :) – Anurag Priyadarshi Jun 16 '16 at 7:12
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You could also take a look at PyBrain, which implements some of the standard benchmark tasks and it allows for the experiments 3D visualization.

Here you can find some examples: https://www.youtube.com/watch?v=fEM7YDNonSE

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See this link for testimonials about Psychopy, including one about the ease with which links to visualisation software can be made.

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You could look at RL Toolkit, which gives examples of visualizations for mountain car and grid worlds.

http://incompleteideas.net/rlai.cs.ualberta.ca/RLAI/RLtoolkit/RLtoolkit1.0.html

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  • I posted the same question on SO. got openAI gym as a recommended library. Though it has limited environments and agents now, the community is evolving. – Anurag Priyadarshi Jun 2 '16 at 10:22

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