• Corpus ID: 7708848

Turing Learning with Nash Memory Machine Learning , Game Theory and Robotics

  title={Turing Learning with Nash Memory Machine Learning , Game Theory and Robotics},
  author={Shuai Wang},
Turing Learning is a method for the reverse engineering of agent behaviors. This approach was inspired by the Turing test where a machine can pass if its behaviour is indistinguishable from that of a human. Nash memory is a memory mechanism for coevolution. It guarantees monotonicity in convergence. This thesis explores the integration of such memory mechanism with Turing Learning for faster learning of agent behaviors. We employ the Enki robot simulation platform and learns the aggregation… 



Evolving Neural Networks through Augmenting Topologies

A method is presented, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a challenging benchmark reinforcement learning task and shows how it is possible for evolution to both optimize and complexify solutions simultaneously.

Coevolutionary dynamics in a minimal substrate

Three simple 'number games' are defined that illustrate intransitive superiority and resultant oscillatory dynamics, as well as some other relevant concepts that include the distinction between a player's perceived performance and performance with respect to an external metric, and the significance of strategies with a multidimensional nature.

The Dominance Tournament Method of Monitoring Progress in Coevolution

A new method for tracking progress, the dominance tournament, is introduced, which shows how different coevolution runs continue to innovate for different periods of time, reveals the precise generation in each run where stagnation occurs, and identifies the best individuals found during the runs.

An Analysis of Cooperative Coevolutionary Algorithms A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at George Mason University

A new view of the CCEAs is offered that includes analysis-guided suggestions for how a traditional CCEA might be modified to be better suited for optimization tasks, or might be applied to more appropriate tasks, given the nature of its dynamics.

Evolution and the Theory of Games

In the Hamadryas baboon, males are substantially larger than females. A troop of baboons is subdivided into a number of ‘one-male groups’, consisting of one adult male and one or more females with

Beyond the Turing Test

A roadmap to AGI (artificial general intelligence) and creating important benchmarks may yet achieve that dream, but this will only happen if the nascent AGI community coalesces and works toward a common vision.

Shettleworth. Cognition, evolution, and behavior

  • 2010