rl-agent-racecar

Reinforcement learning race car agent trained with PPO

• Designed and optimized the reward function with waypoints, stagnation penalties, and crash avoidance
• Debugged slow/circular driving and crashes via reward and environment shaping
• Tuned PPO hyperparameters to balance exploration and exploitation, improving training outcomes

Demo video coming soon.