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Seminar: Games - Topics

Area A: Board Games

A1: Chess

Betreuer: Prof. Dr. Felix Lindner (Juniorprof.)

A2: Checkers

Betreuer: Dr. Robert Mattmüller

  • Checkers Is Solved (PDF)

A3: Backgammon

Betreuer: Dr. Tim Schulte

  • Temporal Difference Learning and TD-Gammon (PDF)

A4: Go

Betreuer: Dr. David Speck

  • Mastering the game of Go without human knowledge (PDF)

Area B: Card Games

B1: Bridge

Betreuer: Dr. Robert Mattmüller

  • Bridge Bidding with Imperfect Information (PDF)
  • Contract Bridge Bidding by Learning (PDF)

B2: Skat

Betreuer: Dr. Thorsten Engesser

  • A Skat Player Based on Monte-Carlo Simulation (PDF)
  • Improving State Evaluation, Inference, and Search in Trick-Based Card Games (PDF)

Area C: Computer Games

C1: Atari (Deep Reinforcement Learning)

Betreuer: Dr. Thorsten Engesser

  • Human-level control through deep reinforcement learning (PDF)

C2: Atari (Canonical Evolution Strategies)

Betreuer: Dr. Tim Schulte

  • Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari (PDF)

C3: Thief / Assassins Creed

Betreuer: Dr. Thorsten Engesser

  • Explicit Knowledge Programming for Computer Games (PDF)
  • DEL Planning and Some Tractable Cases (PDF)

Area D: AI In Sports

D1: Reinforcement Learning for RoboCup Soccer Keepaway

Betreuer: Prof. Dr. Felix Lindner (Juniorprof.)

  • Reinforcement Learning for RoboCup Soccer Keepaway (PDF)

D2: A Robot Soccer Case Study of Ad Hoc Teamwork

Betreuer: Prof. Dr. Felix Lindner (Juniorprof.)

  • Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork (PDF)

D3: Predicting Soccer Results

Betreuer: Dr. David Speck

  • pi-football: A Bayesian network model for forecasting Association Football match outcomes (PDF)

Area E: General Game Playing

E1: AlphaZero

Betreuer: Dr. Robert Mattmüller

  • Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (PDF)

E2: The Game Description Language

Betreuer: Dr. Thorsten Engesser

  • A General Game Description Language for Incomplete Information Games. (PDF)
  • GDL-III: A Description Language for Epistemic General Game Playing (PDF)

E3: Fluxplayer

Betreuer: Dr. Tim Schulte

  • Fluxplayer: A Successful General Game Player (PDF)

E4: Simulation-Based Approach to General Game Playing

Betreuer: Dr. Tim Schulte

  • Simulation-Based Approach to General Game Playing (PDF)

E5: General game playing with stochastic CSP

Betreuer: Prof. Dr. Bernhard Nebel

  • General game playing with stochastic CSP (PDF)

E6: Automating the Design of Game Visualizations

Betreuer: Dr. David Speck

  • On the Complexity of General Game Playing (PDF)

E7: On the Complexity of General Game Playing

Betreuer: Prof. Dr. Bernhard Nebel

  • On the Complexity of General Game Playing (PDF)

E8: Model-free, Model-based, and General Intelligence

Betreuer: Dr. David Speck

  • Model-free, Model-based, and General Intelligence (PDF)