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6 changes: 3 additions & 3 deletions docs/spinningup/rl_intro.rst
Original file line number Diff line number Diff line change
Expand Up @@ -37,8 +37,8 @@ RL methods have recently enjoyed a wide variety of successes. For example, it's

It's also famously been used to create breakthrough AIs for sophisticated strategy games, most notably `Go`_ and `Dota`_, taught computers to `play Atari games`_ from raw pixels, and trained simulated robots `to follow human instructions`_.

.. _`Go`: https://deepmind.com/research/alphago/
.. _`Dota`: https://blog.openai.com/openai-five/
.. _`Go`: https://deepmind.google/research/breakthroughs/alphago/
.. _`Dota`: https://openai.com/index/openai-five/
.. _`play Atari games`: https://deepmind.com/research/dqn/
.. _`to follow human instructions`: https://blog.openai.com/deep-reinforcement-learning-from-human-preferences/

Expand Down Expand Up @@ -449,4 +449,4 @@ The name Markov Decision Process refers to the fact that the system obeys the `M



.. _`Markov property`: https://en.wikipedia.org/wiki/Markov_property
.. _`Markov property`: https://en.wikipedia.org/wiki/Markov_property