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ICGA
2006
83views Optimization» more  ICGA 2006»
13 years 6 months ago
A Tool for the Direct Assessment of Poker Decisions
The element of luck permeates every aspect of the game of poker. Random stochastic outcomes introduce a large amount of noise that can make it very difficult to distinguish a good...
Darse Billings, Morgan Kan
ATAL
2010
Springer
13 years 7 months ago
Using counterfactual regret minimization to create competitive multiplayer poker agents
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
Nicholas Abou Risk, Duane Szafron
AGENTS
2000
Springer
13 years 9 months ago
A game-theoretic formulation of multi-agent resource allocation
This paper considers resource allocation in a network with mobile agents competing for computational priority. We formulate this problem as a multi-agent game with the players bei...
Jonathan Bredin, Rajiv T. Maheswaran, Çagri...
ATAL
2009
Springer
14 years 24 days ago
A demonstration of the Polaris poker system
Poker games provide a useful testbed for modern Artificial Intelligence techniques. Unlike many classical game domains such as chess and checkers, poker includes elements of impe...
Michael H. Bowling, Nicholas Abou Risk, Nolan Bard...

Publication
233views
12 years 4 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis