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Update Documentation for Quick Start Example: usage.rst #718

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Update Documentation for Quick Start Example: usage.rst #718

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4 changes: 2 additions & 2 deletions docs/usage.rst
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Expand Up @@ -30,7 +30,7 @@ To train a model online with OpenAI Gym, simply run the Click command:
# set the config
export CONFIG=reagent/gym/tests/configs/cartpole/discrete_dqn_cartpole_online.yaml
# train and evaluate model on gym environment
./reagent/workflow/cli.py run reagent.gym.tests.test_gym.run_test $CONFIG
./reagent/workflow/cli.py run reagent.gym.tests.test_gym.run_test_replay_buffer $CONFIG


To train a batch RL model, run the following commands:
Expand Down Expand Up @@ -58,7 +58,7 @@ OpenAI Gym is a set of environments: simulators that can run policies for a give

.. code-block::

./reagent/workflow/cli.py run reagent.gym.tests.test_gym.run_test reagent/gym/tests/configs/cartpole/discrete_dqn_cartpole_online.yaml
./reagent/workflow/cli.py run reagent.gym.tests.test_gym.run_test_replay_buffer reagent/gym/tests/configs/cartpole/discrete_dqn_cartpole_online.yaml

Configs for different environments and algorithms can be found in ``reagent/gym/tests/configs/<env_name>/<algorithm>_<env_name>_online.yaml``.

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