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SIGECOM
2010
ACM
137views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
Prediction without markets
Citing recent successes in forecasting elections, movies, products, and other outcomes, prediction market advocates call for widespread use of market-based methods for government ...
Sharad Goel, Daniel M. Reeves, Duncan J. Watts, Da...
UM
2007
Springer
15 years 4 months ago
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...
Li Chen, Pearl Pu
AAMAS
2005
Springer
14 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
MSWIM
2005
ACM
15 years 3 months ago
Huginn: a 3D visualizer for wireless ns-2 traces
Discrete-event network simulation is a major tool for the research and development of mobile ad-hoc networks (MANETs). These simulations are used for debugging, teaching, understa...
Björn Scheuermann, Holger Füßler, ...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 4 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu