Proseminar: KI im Alltag - Themen
Die Themen sind nur aus dem Uni-Netz verfügbar.Bereich A: Transportation
A3: Traffic Control in Urban Environments
Betreuer:
Dr. Tim Schulte
- Towards Application of Automated Planning in Urban Traffic Control (PDF)
A4: Route Planning on Road Networks
Betreuer:
Dr. Robert Mattmüller
- Route Planning in Transportation Networks (Kapitel 2+3) (PDF)
A5: Route Planning for Schedule-based Public Transportation Systems
Betreuer:
Dr. Robert Mattmüller
- Route Planning in Transportation Networks (Kapitel 2+4) (PDF)
Bereich B: Healthcare
B2: Epilepsy Treatment via Reinforcement Learning
Betreuer:
Dr. Thorsten Engesser
- Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning (PDF)
- Russel and Norvig: MDPs + Reinforcement Learning
B4: Organ Exchange
Betreuer:
Dr. Tim Schulte
- Multiple Willing Donors and Organ Clubs in Kidney Exchange (PDF)
- Multi-Organ Exchange: The Whole is Greater than the Sum of its Parts (PDF)
Bereich E: Entertainment
E1: Planning in Video Games
Betreuer:
Dr. Benedict Wright
- Interactive Narrative Planning in The Best Laid Plans (PDF)
- Three states and a plan: the AI of FEAR (PDF)
E2: Heads-up No-limit Texas Hold'em
Betreuer:
Prof. Dr. Bernhard Nebel
- Safe and Nested Subgame Solving for Imperfect-Information Games (PDF)
- Reddit AMA
E4: AlphaGo
Betreuer:
Dr. Florian Geißer
- Mastering the game of Go with deep neural networks and tree search (PDF)
- Progressive Strategies for Monte-Carlo Tree Search (PDF)
E5: Starcraft II Learning Environment
Betreuer:
Dr. Johannes Aldinger
- StarCraft II: A New Challenge for Reinforcement Learning (PDF)
- The Arcade Learning Environment (PDF)
Bereich F: Ethics
F1: 'Accidents' in Machine Learning Systems
Betreuer:
Prof. Dr. Felix Lindner (Juniorprof.)
- Concrete Problems in AI Safety (PDF)
F2: The Stop Button Problem
Betreuer:
Dr. Benedict Wright
- Corrigibility (PDF)
F3: Responsible Autonomy
Betreuer:
Prof. Dr. Felix Lindner (Juniorprof.)
- Responsible Autonomy (PDF)
Bereich H: Reactive Learning
H2: A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
Betreuer:
Oier Mees
- A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots (PDF)
Bereich I: Image Generation
I1: Going Deeper with Convolutions & Inceptionism
Betreuer:
Johan Vertens
- Going Deeper with Convolutions (PDF)
- Inceptionism: Going Deeper into Neural Networks
I2: Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Betreuer:
Johan Vertens
- Learning to Generate Chairs, Tables and Cars with Convolutional Networks (PDF)
Bereich J: Robot Motion
J1: Deep Visual Foresight for Planning Robot Motion
Betreuer:
Oier Mees
- Deep Visual Foresight for Planning Robot Motion (PDF)