Description :
| This is a second version of Reinforcement Learning Toolbox for scilab
1. Correction of all the paths (MAJ/min problems under UNIX) for the
methods "RLtoolbox_V.1/methods/td/"
and "RLtoolbox_V.1/methods/montecarlo/"
2. A new demonstration for the presentation and the description of the
n-armed bandit simulation is added.
files added:
- the directory Evaluative Feedback/n_armed_bandit/ which include:
- interface.sce: to generate the interface
- load_functions.sce: to load the macros
- bandit.sce: the demonstration function itself
Consequently, RLtoolbox.sci, Rltoolbox.tcl and help.tcl are modified.
3. This version is now compatible with Scilab-3.0
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