Michal Pechoucek
Game & Decision Theory · 2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Game & Decision Theory — 6 citations into it
Whom Michal Pechoucek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michal Pechoucek's perspective
Ordered by how strongly the researchers Michal Pechoucek trusts endorse each paper. Same corpus, a different order for every researcher.
- Planning in the Presence of Cost Functions Controlled by an Adversary
- Efficient Computation of Behavior Strategies
- Regret Minimization in Games with Incomplete Information
- Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned
- Monte carlo sampling and regret minimization for equilibrium computation and decision-making in large extensive form games
- The State of Solving Large Incomplete-Information Games, and Application to Poker
- Smoothing Techniques for Computing Nash Equilibria of Sequential Games
- A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games
- Spieltheoretische Behandlung eines Oligopolmodells mit Nachfrageträgheit
- ImageNet classification with deep convolutional neural networks