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Fix broken gym library link (#28111)
gymlibrary.ml becomes gymlibrary.dev Signed-off-by: Jiajun Yao <jeromeyjj@gmail.com>
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@ -66,7 +66,7 @@ To be able to run our Atari examples, you should also install:
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After these quick pip installs, you can start coding against RLlib.
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Here is an example of running a PPO Trainer on the `Taxi domain <https://www.gymlibrary.ml/environments/toy_text/taxi/>`_
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Here is an example of running a PPO Trainer on the `Taxi domain <https://www.gymlibrary.dev/environments/toy_text/taxi/>`_
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for a few training iterations, then perform a single evaluation loop
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(with rendering enabled):
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@ -80,7 +80,7 @@ for a few training iterations, then perform a single evaluation loop
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Feature Overview
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----------------
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You can read about:
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You can read about:
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- `RLlib Key Concepts <core-concepts.html>`_
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@ -5,7 +5,7 @@
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Environments
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============
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RLlib works with several different types of environments, including `OpenAI Gym <https://www.gymlibrary.ml/>`__, user-defined, multi-agent, and also batched environments.
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RLlib works with several different types of environments, including `OpenAI Gym <https://www.gymlibrary.dev/>`__, user-defined, multi-agent, and also batched environments.
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.. tip::
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@ -18,7 +18,7 @@ RLlib works with several different types of environments, including `OpenAI Gym
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Configuring Environments
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------------------------
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You can pass either a string name or a Python class to specify an environment. By default, strings will be interpreted as a gym `environment name <https://www.gymlibrary.ml/>`__.
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You can pass either a string name or a Python class to specify an environment. By default, strings will be interpreted as a gym `environment name <https://www.gymlibrary.dev/>`__.
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Custom env classes passed directly to the algorithm must take a single ``env_config`` parameter in their constructor:
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.. code-block:: python
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