fix(env): clamp episode win signal to 2.0 max

Author: justindujardin

libraries/mathy_python/mathy/env.py

@@ -161,8 +161,7 @@ def get_win_signal(self, env_state: MathyEnvState) -> float:
         # the number of allowed steps, double the bonus signal
         if total_moves > 10 and current_move < total_moves / 2:
             bonus *= 2
-        # Don't let a win go negative
-        return max(EnvRewards.WIN + bonus, 0.1)
+        return min(2.0, EnvRewards.WIN + bonus)
 
     def get_lose_signal(self, env_state: MathyEnvState) -> float:
         """Calculate the reward value for failing to complete the episode. This is done