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ATAL
2011
Springer
12 years 7 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
ATAL
2011
Springer
12 years 7 months ago
A study of computational and human strategies in revelation games
Revelation games are bilateral bargaining games in which agents may choose to truthfully reveal their private information before engaging in multiple rounds of negotiation. They a...
Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus
CIMCA
2008
IEEE
14 years 2 months ago
Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Yevgeniya Kovalchuk
AIIDE
2009
13 years 8 months ago
Learning Character Behaviors Using Agent Modeling in Games
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Richard Zhao, Duane Szafron
AAAI
2008
13 years 9 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens