Umělý hráč pro Angry Birds
| Thesis title in Czech: | Umělý hráč pro Angry Birds |
|---|---|
| Thesis title in English: | Angry Birds Artificial Player |
| Key words: | uměla inteligence, strojově učení, DQN, počítačová hra, Angry Birds |
| English key words: | artificial intelligence, reinforcement learning, DQN, computer game, Angry Birds |
| Academic year of topic announcement: | 2017/2018 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | angličtina |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | Mgr. Jakub Gemrot, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 14.11.2017 |
| Date of assignment: | 14.11.2017 |
| Confirmed by Study dept. on: | 07.08.2018 |
| Date and time of defence: | 06.09.2018 09:00 |
| Date of electronic submission: | 16.07.2018 |
| Date of submission of printed version: | 20.07.2018 |
| Date of proceeded defence: | 06.09.2018 |
| Opponents: | Mgr. Filip Matzner, Ph.D. |
| Guidelines |
| The main target of this thesis is to design and construct an artificial player for the Angry Birds computer game. This agent should be able to compete with human players and with other participants’ agents on a reasonable level. |
| References |
| Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013). Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602.
Lample, G., & Chaplot, D. S. (2017). Playing FPS Games with Deep Reinforcement Learning. In AAAI (pp. 2140-2146). Renz, J., Ge, X., Gould, S., & Zhang, P. (2015). The Angry Birds AI Competition. AI Magazine, 36(2), 85-87. Borovička, T., Špetlík, R., & Rymeš, K. (2014). Datalab, Czech Technical University. Lin, S., Zhang, Q., & Zhang, H. (2013). Object representation in Angry Birds game. In International Joint Conference on Artificial Intelligence. Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction (Vol. 1, No. 1). Cambridge: MIT press. |