FUNCTION:This program is a simulation of a car learning the proper acceleration toget up a mountain.  It uses Q-learning with CMAC as a functionapproximator.  It is based on papers by Rich Sutton and Satinder Singh andwas developed by Sridhar Mahadevan.REQUIREMENTS:  This program requires a C++ compiler and the X11 windowinglibraries and include files.INSTALLATION:To install:1. Edit the file Makefile, and change the line that begins:	   INCLUDE =       to the X11 include file path on your system.2. Set the loader library path environment variable to the X11 library   path on your system:	setenv LD_LIBRARY_PATH <X11-lib-path> 3. Type make.  The executable will be called "xcar"4. To run the program with the pre-defined defaults, type "xcar".     To change the defaults, see the next section, INPUT.INPUT:	By default, one run of 1,000 trials is done.  The simulationparameters (which are particular to this car implementation) are in themc.h file.  The reinforcement learning parameters are in qlearn-cmac.cpp. Of course, you must execute the "make" command again after you change anyparameter.OUTPUT:   A new window with a visual display of the current action of thesimulation will be displayed, while the window from which it was launchedwill show (text) the position and velocity interval values.   The best ongoing qvalues are written to the data files "qvalue-x-y",where x is the run number, and y is the trial number.  A new data file isstarted for every 100 trials. 	BUGS AND LIMITATIONS: