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A whitepaper for OpenAI Gym is available at http://arxiv.org/abs/1606.01540, and here's a BibTeX entry that you can use to cite it in a publication: @misc{1606.01540, Author = {Greg Brockman and Vicki Cheung and Ludwig Pettersson and Jonas Schneider and John Schulman and Jie Tang and Wojciech Zaremba}, Title = {OpenAI Gym}, Year = {2016}, Eprint = {arXiv:1606.01540}, } Complete skeletonized ar 15 lower
Gym offers all these and more interesting environments (Atari games, Go game, etc) and more importantly a standardized test bed for algorithms evaluation and comparison in academic publishing.

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The OpenAI/Gym project offers a common interface for different kind of environments so we can In this tutorial I show how to install Gym using the most common package managers for Python.

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Oct 31, 2016 · The closest thing to general AI we have now is publicly available, documented and open for everyone. Statistical learning is a bottomless cave that you can explore all you want and not get to AI.

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I am implementing OpenAI gym's cartpole problem using Deep Q-Learning (DQN). I followed tutorials (video and otherwise) and learned all about it. I implemented a code for myself and I thought it ...

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A whitepaper for OpenAI Gym is available at http://arxiv.org/abs/1606.01540, and here's a BibTeX entry that you can use to cite it in a publication: @misc{1606.01540, Author = {Greg Brockman and Vicki Cheung and Ludwig Pettersson and Jonas Schneider and John Schulman and Jie Tang and Wojciech Zaremba}, Title = {OpenAI Gym}, Year = {2016}, Eprint = {arXiv:1606.01540}, }

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This is the documentation for gym-derk, a python package that exposes the game “Dr. Derk’s Mutant Battlegrounds” as an OpenAI gym environment. Main website: https://gym.derkgame.com Please get a license on the website if you’re using this in a commercial or academic context.

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OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their...

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The other one is a classic model-free control method based on an actor-critic architecture - Deep Deterministic Policy Gradient (DDPG), which has been proved to be effective in various dynamical systems. The comparison is carried out in OpenAI Gym, which provides multiple control environments for benchmark purposes.

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