[RLlib] Fix calling of callback on_episode_created to conform to docstring (after reset).

rllib/algorithms/callbacks.py

@@ -245,19 +245,22 @@ def on_episode_created(
         """Callback run when a new episode is created (but has not started yet!).
 
         This method gets called after a new Episode(V2) (old stack) or
-        SingleAgentEpisode/MultiAgentEpisode instance has been created.
+        MultiAgentEpisode instance has been created.
         This happens before the respective sub-environment's (usually a gym.Env)
         `reset()` is called by RLlib.
 
-        1) Episode(V2)/Single-/MultiAgentEpisode created: This callback is called.
+        Note, at the moment this callback does not get called in the new API stack
+        and single-agent mode.
+
+        1) Episode(V2)/MultiAgentEpisode created: This callback is called.
         2) Respective sub-environment (gym.Env) is `reset()`.
         3) Callback `on_episode_start` is called.
         4) Stepping through sub-environment/episode commences.
 
         Args:
             episode: The newly created episode. On the new API stack, this will be a
-                SingleAgentEpisode or MultiAgentEpisode object. On the old API stack,
-                this will be a Episode or EpisodeV2 object.
+                MultiAgentEpisode object. On the old API stack, this will be a
+                Episode or EpisodeV2 object.
                 This is the episode that is about to be started with an upcoming
                 `env.reset()`. Only after this reset call, the `on_episode_start`
                 callback will be called.

rllib/env/multi_agent_env_runner.py

@@ -414,17 +414,16 @@ def _sample_episodes(
 
         done_episodes_to_return: List[MultiAgentEpisode] = []
 
-        # Reset the environment.
-        # TODO (simon): Check, if we need here the seed from the config.
-        obs, infos = self.env.reset()
-
         # Create a new multi-agent episode.
         _episode = self._new_episode()
         self._make_on_episode_callback("on_episode_created", _episode)
         _shared_data = {
             "agent_to_module_mapping_fn": self.config.policy_mapping_fn,
         }
 
+        # Reset the environment.
+        # TODO (simon): Check, if we need here the seed from the config.
+        obs, infos = self.env.reset()
         # Set initial obs and infos in the episodes.
         _episode.add_env_reset(observations=obs, infos=infos)
         self._make_on_episode_callback("on_episode_start", _episode)

rllib/env/single_agent_env_runner.py

@@ -224,11 +224,12 @@ def _sample_timesteps(
 
         # Have to reset the env (on all vector sub_envs).
         if force_reset or self._needs_initial_reset:
-            # Create n new episodes and make the `on_episode_created` callbacks.
+            # Create n new episodes.
+            # TODO (sven): Add callback `on_episode_created` as soon as
+            # `gymnasium-v1.0.0a2` PR is coming.
             self._episodes = []
             for env_index in range(self.num_envs):
                 self._episodes.append(self._new_episode())
-                self._make_on_episode_callback("on_episode_created", env_index)
             self._shared_data = {}
 
             # Erase all cached ongoing episodes (these will never be completed and
@@ -437,15 +438,16 @@ def _sample_episodes(
 
         done_episodes_to_return: List[SingleAgentEpisode] = []
 
-        # Reset the environment.
-        # TODO (simon): Check, if we need here the seed from the config.
-        obs, infos = self.env.reset()
         episodes = []
         for env_index in range(self.num_envs):
             episodes.append(self._new_episode())
-            self._make_on_episode_callback("on_episode_created", env_index, episodes)
+            # TODO (sven): Add callback `on_episode_created` as soon as
+            # `gymnasium-v1.0.0a2` PR is coming.
         _shared_data = {}
 
+        # Reset the environment.
+        # TODO (simon): Check, if we need here the seed from the config.
+        obs, infos = self.env.reset()
         for env_index in range(self.num_envs):
             episodes[env_index].add_env_reset(
                 observation=obs[env_index],