392247 ISY Project: Deep Learning Architectures for AI (Pj) (SoSe 2019)

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Following the success of the project in 2018 [a, b, c] we will continue development of a cognitive agent for challenging tasks in simulated environments.

[a] https://twitter.com/MSFTResearch/status/1099006255857713153
[b] https://youtu.be/aqUzh_jHSpY?t=1159
[c] http://github.com/crowdAI/Marlo

The emerging field of deep reinforcement learning has led to remarkable empirical results in rich and varied domains like robotics, arcade games, and multiagent interaction.
In the project, you will gain practical experience with Deep Learning Architectures for AI in simulated environments, apply neural networks to learn and produce complex purposeful actions in the context of one of the following environments on your choice [1-13]

[1] https://youtu.be/XjsY8-P4WHM (Atari)
[2] https://www.pommerman.com
[3] https://gym.openai.com/envs/MontezumaRevenge-v0
[4] http://vizdoom.cs.put.edu.pl
[5] https://www.crowdai.org/challenges/marlo-2018
[6] https://www.crowdai.org/challenges/neurips-2018-ai-for-prosthetics-challenge
[7] https://youtu.be/Ul0Gilv5wvY (PFNN)
[8] https://youtu.be/vppFvq2quQ0 (DeepMimic)
[9] https://github.com/MarkPKCollier/NeuralTuringMachine
[10] https://github.com/brendenlake/BPL (one-shot learning)
[11] https://github.com/Unity-Technologies/obstacle-tower-env
[12] https://www.youtube.com/watch?v=-L4tCIGXKBE (Differentiable Physics for Tool-Use and Manipulation Planning)
[13] https://www.crowdai.org/challenges/neurips-2018-ai-for-prosthetics-challenge

Bibliography

https://rebrand.ly/DRL

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mi 14:15-15:45 CITEC-3.220 17.04.-12.07.2019

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Subject assignments

Module Course Requirements  
39-M-Inf-GP Grundlagenprojekt Intelligente Systeme Gruppenprojekt Ungraded examination
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Last update basic details/teaching staff:
Wednesday, February 6, 2019 
Last update times:
Thursday, April 11, 2019 
Last update rooms:
Thursday, April 11, 2019 
Type(s) / SWS (hours per week per semester)
Pj / 4
Language
This lecture is taught in english
Department
Faculty of Technology
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162895067