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GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
13 years 8 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
AAAI
2007
13 years 9 months ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
NAACL
2010
13 years 5 months ago
Engaging learning groups using Social Interaction Strategies
Conversational Agents have been shown to be effective tutors in a wide range of educational domains. However, these agents are often ignored and abused in collaborative learning s...
Rohit Kumar, Carolyn Penstein Rosé
DIGRA
2005
Springer
14 years 1 months ago
Realistic Agent Movement in Dynamic Game Environments
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...
Ross Graham, Hugh McCabe, Stephen Sheridan
ATAL
2008
Springer
13 years 9 months ago
The intermediary agent's brain: supporting learning to collaborate at the inter-personal level
We discuss the design of the Intermediary Agent's brain, the control module of an embodied conversational virtual peer in a simulation game aimed at providing learning experi...
Juan Martínez-Miranda, Bernhard Jung, Sabin...