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- 1 (2011-05-26 (Thu) 06:54:28)

Common usage of running the demo programs is described here.

Build the Demo Program †

Execute:

 $ cd benchmarks/DEMO_DIR
 $ make

Here, DEMO_DIR is each demo directory. See Documentation/Installation Guide for the detail.

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Running Command †

Execute as follows:

 $ ./DEMO_PRG -path PATH_LIST -agent AGENT_FILE -outdir OUT_DIR

Here, the demo-specific elements are:

DEMO_PRG: Demo program whose name is *.out.
PATH_LIST: Comma separated path list for the demo program to search agent scripts.
AGENT_FILE: Comma separated agent script(s) in which a reinforcement learning module and the other modules are configured.
OUT_DIR: Result directory into which the program store some data. You need to create OUT_DIR before running; if non-existet directory is specified, no result is stored.

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Result Analysis †

In OUT_DIR (result/rl1), the following files are stored:

cmdline: Command line of the execution.
before.agent, after.agent: A whole agent script generated by the program (before the execution and after the execution, respectively).
ext_sto: External storage directory (maybe not used in this case).
included: Directory to store the copy of every included agent file.
log-eps-ret.dat: Log file of (episode number, return in the episode).
log-action-res.dat: Log file of each action.

For example, use gnuplot to plot the learning curve as:

 $ gnuplot
 gnuplot> plot 'log-eps-ret.dat' w l

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Miscellaneous †

In order to specify the random seed, just append an agent file as follows:

 $ ./maze2d.out -path ../cmn,m -agent ql_da1,seed0 -outdir result/rl1

Here, seed0 is m/seed0.agent; in this file, the random seed is set to be zero. By specifying the random seed, we can obtain the same result in every run.