5 | | 1. Introduction (also limits scope of nego models) |
6 | | 2. Related Work |
7 | | 3. Components of Opponent Models (basic explanation of KDE, Bayesian, reinforcement learning, ...) |
8 | | 4. Opponent models (make a taxonomy of this! Order is still wrong) |
9 | | 4.a. Learning Reservation Values (sep sections matching structure in 3!) |
10 | | 4.b. Learning Opponent Strategies |
11 | | 4.c. Learning Utility curves |
12 | | 4.d. Learning Value Ordering |
13 | | 4.e. Learning Weight Ordering |
14 | | 5. Future Work |
15 | | 6. Conclusion |
| 5 | 1. Introduction (also limits scope of nego models)[[BR]] |
| 6 | 2. Related Work[[BR]] |
| 7 | 3. Components of Opponent Models (basic explanation of KDE, Bayesian, reinforcement learning, ...)[[BR]] |
| 8 | 4. Opponent models (make a taxonomy of this! Order is still wrong)[[BR]] |
| 9 | 4.a. Learning Reservation Values (sep sections matching structure in 3!)[[BR]] |
| 10 | 4.b. Learning Opponent Strategies[[BR]] |
| 11 | 4.c. Learning Utility curves[[BR]] |
| 12 | 4.d. Learning Value Ordering[[BR]] |
| 13 | 4.e. Learning Weight Ordering[[BR]] |
| 14 | 5. Future Work[[BR]] |
| 15 | 6. Conclusion[[BR]] |