Reinforcement Learning & Autonomous Systems

Các bước thực hiện:

1. 1Set up realistic Vietnamese city simulation environment
2. 2Define reward function cho safe navigation
3. 3Implement PPO algorithm cho continuous control
4. 4Train agent trong simulated Vietnamese weather conditions
5. 5Test robustness với various scenarios
6. 6Deploy trên real drone với safety measures

Kết quả mong đợi:

Autonomous drone capable of safe navigation trong complex Vietnamese urban areas

Các bước thực hiện:

1. 1Model Vietnamese traffic patterns trong SUMO simulator
2. 2Design multi-agent RL system cho coordinated traffic lights
3. 3Implement reward function based on traffic flow efficiency
4. 4Train agents using real Vietnamese traffic data
5. 5Validate improvements trong traffic congestion
6. 6Prepare system cho real-world deployment

Kết quả mong đợi:

30% reduction trong average waiting time và improved traffic flow