Team Ai
Modelpublic

hashir-Ali/Reinforcement_Learning

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes3downloads
tempCodeRunnerFile.py27 linesDownload Raw Back to root
1f rocket_bottom_y <= terrain_y_at_x:
2                self.rocket.y = terrain_y_at_x + self.rocket.height // 2
3
4                if abs(self.rocket.velocity_y) <= 5.0 and abs(self.rocket.velocity_x) <= 5 and abs(self.rocket.angle) <= 10:
5                    self.game_over = True
6                    self.win = True  # Successful landing
7                    reward = 1 # Positive reward for successful landing
8                else:
9                    self.game_over = True  # Rocket destroyed
10                    reward = -0.6 # Negative reward for crash
11            else:
12                if thrusting:
13                    reward = 0.002
14                else:
15                    reward=0  
16                if abs(self.rocket.angle) >5:
17                    reward = -0.02
18                if abs(self.rocket.velocity_y) > 5 or abs(self.rocket.velocity_x) > 5:
19                    reward = -0.02
20                if self.rocket.y>700:
21                    self.game_over = True   
22                    reward = -0.6
23                if self.rocket.x>800 or self.rocket.x<0:
24                    self.game_over = True
25                    reward = -0.6
26
27            return reward, self.game_over, self.win