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AIIDE
2009
15 years 1 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 6 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
MATES
2009
Springer
15 years 7 months ago
Towards Pattern-Oriented Design of Agent-Based Simulation Models
Abstract. The formalization and use of experiences in good model design would make an important contribution to increasing the efficiency of modeling as well as to supporting the k...
Franziska Klügl, Lars Karlsson
IDEAL
2004
Springer
15 years 6 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
101
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AAMAS
2007
Springer
15 years 27 days ago
An experts approach to strategy selection in multiagent meeting scheduling
Abstract. In the multiagent meeting scheduling problem, agents negotiate with each other on behalf of their users to schedule meetings. While a number of negotiation approaches hav...
Elisabeth Crawford, Manuela M. Veloso