Fix pre-commit

rlworkgroup · Oct 30, 2020 · 4ee2e66 · 4ee2e66
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diff --git a/docs/user/algo_teppo.md b/docs/user/algo_teppo.md
@@ -23,7 +23,6 @@
      - :ref:`te_ppo_metaworld_mt1_push`, :ref:`te_ppo_metaworld_mt10`, :ref:`te_ppo_metaworld_mt50`, :ref:`te_ppo_point`
 ```
 
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 Proximal Policy Optimization Algorithms (PPO) is a family of policy gradient methods which alternate between sampling data through interaction with the environment, and optimizing a "surrogate" objective function using stochastic gradient ascent. TEPPO parameterizes the PPO policy via a shared skill embedding space.
 
 ## Default Parameters
@@ -75,4 +74,3 @@ inference_ce_coeff=1e-3
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 *This page was authored by Nicole Shin Ying Ng ([@nicolengsy](https://github.com/nicolengsy)).*
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