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| 2016 || {{dts|January 9}} || || Education || The OpenAI research team does an AMA ("ask me anything") on r/MachineLearning, the subreddit dedicated to machine learning.<ref>{{cite web |url=https://www.reddit.com/r/MachineLearning/comments/404r9m/ama_the_OpenAI_research_team/ |publisher=reddit |title=AMA: the OpenAI Research Team • r/MachineLearning |accessdate=May 5, 2018}}</ref>
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| 2016 || {{dts|February 25}} || Optimization || Publication || "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks", a paper on optimization, is first submitted to the {{w|ArXiv}}. The paper presents weight normalization: a reparameterization of the weight vectors in a neural network that decouples the length of those weight vectors from their direction.<ref>{{cite web |last1=Salimans |first1=Tim |last2=Kingma |first2=Diederik P. |title=Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks |url=https://arxiv.org/abs/1602.07868 |website=arxiv.org |accessdate=27 March 2020}}</ref>
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| 2016 || {{dts|March 31}} || || Team || A blog post from this day announces that {{W|Ian Goodfellow}} has joined OpenAI.<ref>{{cite web |url=https://blog.OpenAI.com/team-plus-plus/ |publisher=OpenAI Blog |title=Team++ |date=March 22, 2017 |first=Greg |last=Brockman |accessdate=May 6, 2018}}</ref> Previously, Goodfellow worked as Senior Research Scientist at {{w|Google}}.<ref>{{cite web |title=Ian Goodfellow |url=https://www.linkedin.com/in/ian-goodfellow-b7187213/ |website=linkedin.com |accessdate=24 April 2020}}</ref><ref name="orgwatch.issarice.com"/>
| 2016 || {{dts|April 27}} || || Software release || The public beta of OpenAI Gym, an open source toolkit that provides environments to test AI bots, is released.<ref>{{cite web |url=https://blog.OpenAI.com/OpenAI-gym-beta/ |publisher=OpenAI Blog |title=OpenAI Gym Beta |date=March 20, 2017 |accessdate=March 2, 2018}}</ref><ref>{{cite web |url=https://www.wired.com/2016/04/OpenAI-elon-musk-sam-altman-plan-to-set-artificial-intelligence-free/ |title=Inside OpenAI, Elon Musk's Wild Plan to Set Artificial Intelligence Free |date=April 27, 2016 |publisher=[[wikipedia:WIRED|WIRED]] |accessdate=March 2, 2018 |quote=This morning, OpenAI will release its first batch of AI software, a toolkit for building artificially intelligent systems by way of a technology called "reinforcement learning"}}</ref><ref>{{cite web |url=http://www.businessinsider.com/OpenAI-has-launched-a-gym-where-developers-can-train-their-computers-2016-4?op=1 |first=Sam |last=Shead |date=April 28, 2016 |title=Elon Musk's $1 billion AI company launches a 'gym' where developers train their computers |publisher=Business Insider |accessdate=March 3, 2018}}</ref>
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| 2016 || {{dts|May 25}} || Safety || Publication || "Adversarial Training Methods for Semi-Supervised Text Classification" is submitted to the {{w|ArXiv}}. The paper proposes a method that achieves better results on multiple benchmark semi-supervised and purely supervised tasks.<ref>{{cite web |last1=Miyato |first1=Takeru |last2=Dai |first2=Andrew M. |last3=Goodfellow |first3=Ian |title=Adversarial Training Methods for Semi-Supervised Text Classification |url=https://arxiv.org/abs/1605.07725 |website=arxiv.org |accessdate=28 March 2020}}</ref>
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| 2016 || {{dts|May 31}} || || Publication || "VIME: Variational Information Maximizing Exploration", a paper on generative models, is submitted to the {{w|ArXiv}}. The paper introduces Variational Information Maximizing Exploration (VIME), an exploration strategy based on maximization of information gain about the agent's belief of environment dynamics.<ref>{{cite web |last1=Houthooft |first1=Rein |last2=Chen |first2=Xi |last3=Duan |first3=Yan |last4=Schulman |first4=John |last5=De Turck |first5=Filip |last6=Abbeel |first6=Pieter |title=VIME: Variational Information Maximizing Exploration |url=https://arxiv.org/abs/1605.09674 |website=arxiv.org |accessdate=27 March 2020}}</ref>
