392268 An Artificial Intelligence agent for interactive gameplay in arcade games (Pj) (WiSe 2018/2019)
Contents, comment
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For more information about the project, please contact
Dr. Andrew Melnik anmelnik(at)techfak.uni-bielefeld.de
Office 3.308 (CITEC Building)
Consultation hours: Wednesdays 17:15-18:00The project intends to gain practical experience with Deep Reinforcement Learning [1]. In this project, you will apply neural networks to learn and produce complex purposeful actions in simulated environments in the context of arcade games [2, 3]
[1] https://youtu.be/XjsY8-P4WHM
[2] https://www.pommerman.com/competitions
[3] https://gym.openai.com/envs/MontezumaRevenge-v0
Requirements for participation, required level
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- Introduction to Neural Networks course or Advanced Neural Networks
- Python (>= 1 year)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P_ver1 Projekt | Projekt | Ungraded examination
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Student information |
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- Registered number: 8
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- 3 Students to be reached directly via email
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- Last update basic details/teaching staff:
- Thursday, October 11, 2018
- Last update times:
- Tuesday, October 9, 2018
- Last update rooms:
- Tuesday, October 9, 2018
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 4
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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