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ICML
2008
IEEE
16 years 20 days ago
No-regret learning in convex games
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
Geoffrey J. Gordon, Amy R. Greenwald, Casey Marks
ATAL
2009
Springer
15 years 6 months ago
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
L. Julian Schvartzman, Michael P. Wellman
AIIDE
2008
15 years 2 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
AIIDE
2009
15 years 29 days ago
Supporting Dialogue Generation for Story-Based Games
Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters i...
Christopher Michael Kerr, Duane Szafron
ATAL
2008
Springer
15 years 1 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...