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Minor changes to paper #196

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Minor changes to paper #196

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6 changes: 3 additions & 3 deletions publications/paper.bib
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
@misc{gym,
Author = {Greg Brockman and Vicki Cheung and Ludwig Pettersson and Jonas Schneider and John Schulman and Jie Tang and Wojciech Zaremba},
Title = {OpenAI Gym},
Title = {OpenAI {G}ym},
Year = {2016},
Eprint = {arXiv:1606.01540},
url={https://arxiv.org/abs/1606.01540},
Expand All @@ -23,8 +23,8 @@ @InProceedings{rllib
}

@Article{arcade,
author = {{Bellemare}, M.~G. and {Naddaf}, Y. and {Veness}, J. and {Bowling}, M.},
title = {The Arcade Learning Environment: An Evaluation Platform for General Agents},
author = {{Bellemare}, M. G. and {Naddaf}, Y. and {Veness}, J. and {Bowling}, M.},
title = {The {A}rcade {L}earning {E}nvironment: An Evaluation Platform for General Agents},
journal = {Journal of Artificial Intelligence Research},
year = "2013",
month = "jun",
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2 changes: 1 addition & 1 deletion publications/paper.md
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Expand Up @@ -35,7 +35,7 @@ for pre-existing projects to prototype Reinforcement Learning (RL) as a potentia

# Statement of need

In 2016, @gym published OpenAi Gym, an interface for single-agent simulations. This interface
In 2016, @gym published OpenAI Gym, an interface for single-agent simulations. This interface
quickly became one of the most popular connections between simulation and training
in RL experimentation. It has been used by many simulation benchmarks
for single-agent reinforcement learning, including the Arcade Learning Environment [@arcade].
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