335 search results - page 51 / 67 » Learning Simulation Control in General Game-Playing Agents |
AAAI
2008
15 years 19 hour ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
ICANNGA
2009
Springer
15 years 4 months ago
2009
Springer
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
ISCAS
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
DAGM
2003
Springer
15 years 2 months ago
2003
Springer
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...