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- Combinatorial Games
- Memoryless Determinacy of Parity and Mean Payoff Games
- Solving Zero-Sum Extensive-Form Games with Arbitrary Payoff
- CMSC 474, Introduction to Game Theory 1. Introduction
- Minimax Analysis of Active Learning
- Exact and Monte-Carlo Algorithms for Combinatorial Games
- COMBINATORIAL GAME THEORY in CLOBBER Jeroen Claessen
- The Determinacy of Infinite Games with Eventual Perfect Monitoring
- Introduction to Game Theory
- Lecture 10: Games II Question Review: Minimax Review
- Characterization of Group-Strategyproof Mechanisms for Facility Location in Strictly Convex Space
- A Pruning Algorithm for Imperfect Information Games
- Chapter 6: Adversarial Search
- Alpha-Beta Pruning
- CMSC 474, Introduction to Game Theory 1. Introduction
- Multi-Player Alpha-Beta Pruning
- Midterm Solutions
- Rationalizable Strategies in Games with Incomplete Preferences
- Is Minimax Really an Optimal Strategy in Games?
- Minimax Regret and Strategic
- Minimax, Alpha-Beta Pruning
- A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
- Implementation of Minimax with Alpha-Beta Pruning As Computer Player in Congklak
- Minimax Algorithm Carries out This Simulation, but It Only Recurses on One Subtree at a Time
- Combinatorial Games: from Theoretical Solving to AI Algorithms Eric Duchene
- A Minimax Approach to Supervised Learning
- Robust Permanence for Ecological Differential Equations, Minimax, and Discretizations∗
- Lecture 15: Repeated Games and Cooperation
- Learning for Multi-Agent Decision Problems
- A Complete Folk Theorem for Finitely Repeated Games
- New Heuristic Algorithm to Improve the Minimax for Gomoku Artificial Intelligence
- Combinatorial Games: from Theoretical Solving to AI Algorithms
- Lecture 11: Minimax Decision Theory 1 Minimax Framework 2 Minimax Theorem
- Sequential Games
- Game Theory: Minimax, Maximin, and Iterated Removal
- Imperfect Information Extensive-Form Games
- Rationalizability and Iterated Elimination of Dominated Actions
- On Nash Equilibrium and Evolutionarily Stable States That Are Not Characterised by the Folk Theorem
- Lecture Notes on Artificial Intelligence Prepared By
- Comparative Study of Performance of Parallel Alpha Beta Pruning for Different Architectures
- Economics 2010A Game Theory Section Notes
- Hints, Answers and Solutions
- Von Neumann's Minimax Theorem Outline for Today Recall
- Everything You Always Wanted to Know About Game Theory* *But Were Afraid to Ask
- GAME THEORY and the MINIMAX THEOREM Contents 1. Introduction
- Nonzero-Sum Game Tree Search with Knowledge Oriented Players
- Arxiv:1712.05723V4 [Cs.GT] 18 Mar 2020 Department of Computer Science E-Mail: [email protected] 2 Ghislain Fourny
- Parameterized Games of Perfect Information
- Epsilon Approximate Equilibria with Multiple Payoffs and No Priors
- Unbeatable Tic-Tac-Toe
- Minimax Strategies, Alpha Beta Pruning
- CSC304 Lecture 5 Game Theory : Zero-Sum Games, the Minimax
- Lecture 4: 2-Player Zero Sum Games Lecturer: Yishay Mansour Scribe: Yair Halevi, Daniel Deutch
- Algorithms for Rationalizability and CURB Sets
- Facility Location with Minimax Envy
- Perfect-Information Extensive-Form Games Subgame Perfection Backward Induction
- Approximation Algorithms and Mechanism Design for Minimax Approval Voting1
- Nash Equilibrium
- On Convergence to Nash Equilibria of Regret-Minimizing Algorithms in Routing Games
- Lecture 7: Game-Playing and Search
- Lecture : Game Theory
- Digital Notes on Artificial Intelligence [R18a1205]
- Arxiv:1707.01816V3 [Cs.GT] 18 Mar 2020 ETH Z¨Urich E-Mail: [email protected] 2 Ghislain Fourny
- Game Theory with Translucent Players
- Repeated Games with Asynchronous Moves¤
- A Minimax Theorem for Zero-Sum Games