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GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
15 years 29 days ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...
ICML
1994
IEEE
15 years 3 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
AAAI
1996
15 years 1 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
EOR
2008
136views more  EOR 2008»
14 years 12 months ago
Game-theoretic analysis of cooperation among supply chain agents: Review and extensions
This paper surveys some applications of cooperative game theory to supply chain management. Special emphasis is placed on two important aspects of cooperative games: profit alloca...
Mahesh Nagarajan, Greys Sosic
ATAL
2007
Springer
15 years 6 months ago
Extending character-based storytelling with awareness and feelings
Most Interactive Storytelling systems developed to date have followed a task-based approach to story representation, using planning techniques to drive the story by generating a s...
David Pizzi, Marc Cavazza, Jean-Luc Lugrin