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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

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

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)