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ESANN
2008
13 years 6 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
ACMICEC
2007
ACM
225views ECommerce» more  ACMICEC 2007»
13 years 9 months ago
The game of scale: decision making with economies of scale
While diffusion of innovation topics in economics and majority games in game theory have been widely studied, the impact of economy-of-scale effects in aggregated decision making ...
Christopher J. Hazard, Peter R. Wurman
ATAL
2005
Springer
13 years 10 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
AAAI
2000
13 years 6 months ago
Deliberation in Equilibrium: Bargaining in Computationally Complex Problems
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...
Kate Larson, Tuomas Sandholm
CIG
2005
IEEE
13 years 10 months ago
Forcing Neurocontrollers to Exploit Sensory Symmetry Through Hard-wired Modularity in the Game of Cellz
Several attempts have been made in the past to construct encoding schemes that allow modularity to emerge in evolving systems, but success is limited. We believe that in order to c...
Julian Togelius, Simon M. Lucas