[RLlib] Renaming all ConnectorV2 example scripts (removed the prefix "connector_v2_" as it is superfluous).

doc/source/rllib/rllib-examples.rst

@@ -125,7 +125,7 @@ Multi-Agent and Hierarchical
 Special Action- and Observation Spaces
 --------------------------------------
 
-- `Nested action spaces <https://github.com/ray-project/ray/blob/master/rllib/examples/connectors/connector_v2_nested_action_spaces.py>`__:
+- `Nested action spaces <https://github.com/ray-project/ray/blob/master/rllib/examples/connectors/nested_action_spaces.py>`__:
    Learning in arbitrarily nested action spaces.
 - `Parametric actions <https://github.com/ray-project/ray/blob/master/rllib/examples/_old_api_stack/parametric_actions_cartpole.py>`__:
    Example of how to handle variable-length or parametric action spaces.

rllib/BUILD

@@ -2155,96 +2155,96 @@ py_test(
 # ....................................
 # Framestacking examples only run in smoke-test mode (a few iters only).
 py_test(
-    name = "examples/connectors/connector_v2_frame_stacking_ppo",
-    main = "examples/connectors/connector_v2_frame_stacking.py",
+    name = "examples/connectors/frame_stacking_ppo",
+    main = "examples/connectors/frame_stacking.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_frame_stacking.py"],
+    srcs = ["examples/connectors/frame_stacking.py"],
     args = ["--enable-new-api-stack", "--stop-iter=2", "--framework=torch", "--algo=PPO"]
 )
 
 py_test(
-    name = "examples/connectors/connector_v2_frame_stacking_multi_agent_ppo",
-    main = "examples/connectors/connector_v2_frame_stacking.py",
+    name = "examples/connectors/frame_stacking_multi_agent_ppo",
+    main = "examples/connectors/frame_stacking.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_frame_stacking.py"],
+    srcs = ["examples/connectors/frame_stacking.py"],
     args = ["--enable-new-api-stack", "--num-agents=2", "--stop-iter=2", "--framework=torch", "--algo=PPO", "--num-env-runners=4", "--num-cpus=6"]
 )
 
 # Nested action spaces (flattening obs and learning w/ multi-action distribution).
 py_test(
-    name = "examples/connectors/connector_v2_nested_action_spaces_ppo",
-    main = "examples/connectors/connector_v2_nested_action_spaces.py",
+    name = "examples/connectors/nested_action_spaces_ppo",
+    main = "examples/connectors/nested_action_spaces.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "large",
-    srcs = ["examples/connectors/connector_v2_nested_action_spaces.py"],
+    srcs = ["examples/connectors/nested_action_spaces.py"],
     args = ["--enable-new-api-stack", "--as-test", "--framework=torch", "--stop-reward=-500.0", "--algo=PPO"]
 )
 
 py_test(
-    name = "examples/connectors/connector_v2_nested_action_spaces_multi_agent_ppo",
-    main = "examples/connectors/connector_v2_nested_action_spaces.py",
+    name = "examples/connectors/nested_action_spaces_multi_agent_ppo",
+    main = "examples/connectors/nested_action_spaces.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "large",
-    srcs = ["examples/connectors/connector_v2_nested_action_spaces.py"],
+    srcs = ["examples/connectors/nested_action_spaces.py"],
     args = ["--enable-new-api-stack", "--as-test", "--num-agents=2", "--framework=torch", "--stop-reward=-1000.0", "--algo=PPO"]
 )
 
 # Nested observation spaces (flattening).
 py_test(
-    name = "examples/connectors/connector_v2_nested_observation_spaces_ppo",
-    main = "examples/connectors/connector_v2_nested_observation_spaces.py",
+    name = "examples/connectors/nested_observation_spaces_ppo",
+    main = "examples/connectors/nested_observation_spaces.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_nested_observation_spaces.py"],
+    srcs = ["examples/connectors/nested_observation_spaces.py"],
     args = ["--enable-new-api-stack", "--as-test", "--stop-reward=400.0", "--framework=torch", "--algo=PPO"]
 )
 
 py_test(
-    name = "examples/connectors/connector_v2_nested_observation_spaces_multi_agent_ppo",
-    main = "examples/connectors/connector_v2_nested_observation_spaces.py",
+    name = "examples/connectors/nested_observation_spaces_multi_agent_ppo",
+    main = "examples/connectors/nested_observation_spaces.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_nested_observation_spaces.py"],
+    srcs = ["examples/connectors/nested_observation_spaces.py"],
     args = ["--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=800.0", "--framework=torch", "--algo=PPO"]
 )
 
 # Prev-r/prev actions + LSTM example.
 py_test(
-    name = "examples/connectors/connector_v2_prev_actions_prev_rewards_ppo",
-    main = "examples/connectors/connector_v2_prev_actions_prev_rewards.py",
+    name = "examples/connectors/prev_actions_prev_rewards_ppo",
+    main = "examples/connectors/prev_actions_prev_rewards.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "large",
-    srcs = ["examples/connectors/connector_v2_prev_actions_prev_rewards.py"],
+    srcs = ["examples/connectors/prev_actions_prev_rewards.py"],
     args = ["--enable-new-api-stack", "--as-test", "--stop-reward=200.0", "--framework=torch", "--algo=PPO", "--num-env-runners=4", "--num-cpus=6"]
 )
 
 py_test(
-    name = "examples/connectors/connector_v2_prev_actions_prev_rewards_multi_agent_ppo",
-    main = "examples/connectors/connector_v2_prev_actions_prev_rewards.py",
+    name = "examples/connectors/prev_actions_prev_rewards_multi_agent_ppo",
+    main = "examples/connectors/prev_actions_prev_rewards.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "large",
-    srcs = ["examples/connectors/connector_v2_prev_actions_prev_rewards.py"],
+    srcs = ["examples/connectors/prev_actions_prev_rewards.py"],
     args = ["--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=400.0", "--framework=torch", "--algo=PPO", "--num-env-runners=4", "--num-cpus=6"]
 )
 
 # MeanStd filtering example.
 py_test(
-    name = "examples/connectors/connector_v2_mean_std_filtering_ppo",
-    main = "examples/connectors/connector_v2_mean_std_filtering.py",
+    name = "examples/connectors/mean_std_filtering_ppo",
+    main = "examples/connectors/mean_std_filtering.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_mean_std_filtering.py"],
+    srcs = ["examples/connectors/mean_std_filtering.py"],
     args = ["--enable-new-api-stack", "--as-test", "--stop-reward=-300.0", "--framework=torch", "--algo=PPO", "--num-env-runners=2"]
 )
 
 py_test(
-    name = "examples/connectors/connector_v2_mean_std_filtering_multi_agent_ppo",
-    main = "examples/connectors/connector_v2_mean_std_filtering.py",
+    name = "examples/connectors/mean_std_filtering_multi_agent_ppo",
+    main = "examples/connectors/mean_std_filtering.py",
     tags = ["team:rllib", "exclusive", "examples"],
     size = "medium",
-    srcs = ["examples/connectors/connector_v2_mean_std_filtering.py"],
+    srcs = ["examples/connectors/mean_std_filtering.py"],
     args = ["--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=-600.0", "--framework=torch", "--algo=PPO", "--num-env-runners=5", "--num-cpus=6"]
 )
 

rllib/examples/nested_action_spaces.py

@@ -1,6 +1,6 @@
 msg = """
 This script has been moved to
-`ray.rllib.examples.connectors.connector_v2_nested_action_spaces.py`
+`ray.rllib.examples.connectors.nested_action_spaces.py`
 """
 
 raise NotImplementedError(msg)

rllib/examples/rl_modules/frame_stacking_rlm.py

@@ -6,7 +6,7 @@
 ConnectorV2). Take a look at this example script here, which shows how you can do frame-
 stacking with RLlib's new ConnectorV2 API.
 
-`ray.rllib.examples.connectors.connector_v2_frame_stacking.py`
+`ray.rllib.examples.connectors.frame_stacking.py`
 """
 
 raise NotImplementedError(msg)