Remove old autoreset doc and `python examples/agents/keyboard_agent.p…

…y` link (Farama-Foundation#1071)

gymnasium/envs/box2d/lunar_lander.py

@@ -95,8 +95,6 @@ class LunarLander(gym.Env, EzPickle):
     ```shell
     python gymnasium/envs/box2d/lunar_lander.py
     ```
-    <!-- To play yourself, run: -->
-    <!-- python examples/agents/keyboard_agent.py LunarLander-v3 -->
 
     ## Action Space
     There are four discrete actions available:

gymnasium/wrappers/common.py

@@ -165,28 +165,9 @@ def spec(self) -> EnvSpec | None:
 class Autoreset(
     gym.Wrapper[ObsType, ActType, ObsType, ActType], gym.utils.RecordConstructorArgs
 ):
-    """The wrapped environment is automatically reset when an terminated or truncated state is reached.
+    """The wrapped environment is automatically reset when a terminated or truncated state is reached.
 
-    When calling step causes :meth:`Env.step` to return `terminated=True` or `truncated=True`, :meth:`Env.reset` is called,
-    and the return format of :meth:`self.step` is as follows: ``(new_obs, final_reward, final_terminated, final_truncated, info)``
-    with new step API and ``(new_obs, final_reward, final_done, info)`` with the old step API.
-    No vector version of the wrapper exists.
-
-     - ``obs`` is the first observation after calling :meth:`self.env.reset`
-     - ``final_reward`` is the reward after calling :meth:`self.env.step`, prior to calling :meth:`self.env.reset`.
-     - ``final_terminated`` is the terminated value before calling :meth:`self.env.reset`.
-     - ``final_truncated`` is the truncated value before calling :meth:`self.env.reset`. Both `final_terminated` and `final_truncated` cannot be False.
-     - ``info`` is a dict containing all the keys from the info dict returned by the call to :meth:`self.env.reset`,
-       with an additional key "final_observation" containing the observation returned by the last call to :meth:`self.env.step`
-       and "final_info" containing the info dict returned by the last call to :meth:`self.env.step`.
-
-    Warning:
-        When using this wrapper to collect rollouts, note that when :meth:`Env.step` returns `terminated` or `truncated`, a
-        new observation from after calling :meth:`Env.reset` is returned by :meth:`Env.step` alongside the
-        final reward, terminated and truncated state from the previous episode.
-        If you need the final state from the previous episode, you need to retrieve it via the
-        "final_observation" key in the info dict.
-        Make sure you know what you're doing if you use this wrapper!
+    This follows the vector autoreset api where on the step after an episode terminates or truncated then the environment is reset.
 
     Change logs:
      * v0.24.0 - Initially added as `AutoResetWrapper`
@@ -473,10 +454,6 @@ class RecordEpisodeStatistics(
     For a vectorized environments the output will be in the form of::
 
         >>> infos = {
-        ...     "final_observation": "<array of length num-envs>",
-        ...     "_final_observation": "<boolean array of length num-envs>",
-        ...     "final_info": "<array of length num-envs>",
-        ...     "_final_info": "<boolean array of length num-envs>",
         ...     "episode": {
         ...         "r": "<array of cumulative reward>",
         ...         "l": "<array of episode length>",