20 search results - page 3 / 4 » Policy evolution with Genetic Programming: A comparison of t... |
AISADM
2005
Springer
13 years 10 months ago
2005
Springer
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
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ECAL
1995
Springer
13 years 8 months ago
1995
Springer
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
AROBOTS
1999
13 years 4 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
BMCBI
2007
13 years 4 months ago
2007
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...