Reinforcement Learning Và Intelligent Agents

Công cụ cần thiết:

• Chess Environment
• Deep RL Framework
• Vietnamese Chess Rules
• Training Infrastructure

Các bước thực hiện:

1. 1Implement Vietnamese chess game environment
2. 2Design state representation cho chess positions
3. 3Implement Deep Q-Network (DQN) algorithm
4. 4Train agent using self-play techniques
5. 5Apply advanced RL techniques (Double DQN, Dueling Networks)
6. 6Evaluate agent performance against different skill levels
7. 7Optimize training using distributed computing
8. 8Deploy agent với user-friendly interface

Kết quả mong đợi:

Vietnamese chess AI achieving intermediate to advanced playing strength