Deliverables
- Open Source implementation of an autonomous learning system that can be
used in complex, dynamic, environments — See
RoadMap for a list of planned features
- Publications on autonomous learning versus learning from examples
- Publications on the performance of relatively simple probabilistic models on complex environments
- Publications on the theoretical limits of a universal autonomous learning system
- Publications on the (theoretical) performance of autonomous learning systems in non-zero-sum games
- Publications on the applicability of autonomous learning systems in operations research
- Publications on efficient algorithms for
- calculating the lengths of two-part codes
- finding candidate models
- finding and evaluating candidate policies
Visit the LExAu project page on SourceForge for project details.
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