feat(*): Add bot files for rlbot

rlgym training/bot/src/action/continuous_act.py

@@ -0,0 +1,24 @@
+import numpy as np
+from rlgym_compat import GameState
+
+
+class ContinuousAction:
+    """
+        Simple continuous action space. Operates in the range -1 to 1, even for the binary actions which are converted back to binary later.
+        This is for improved compatibility, stable baselines doesn't support tuple spaces right now.
+    """
+
+    def __init__(self):
+        pass
+
+    def get_action_space(self):
+        raise NotImplementedError("We don't implement get_action_space to remove the gym dependency")
+
+    def parse_actions(self, actions: np.ndarray, state: GameState) -> np.ndarray:
+        actions = actions.reshape((-1, 8))
+
+        actions[..., :5] = actions[..., :5].clip(-1, 1)
+        # The final 3 actions handle are jump, boost and handbrake. They are inherently discrete so we convert them to either 0 or 1.
+        actions[..., 5:] = actions[..., 5:] > 0
+
+        return actions