Fix pinball and add example on using Ipython parallel #4
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Fix some inconsistencies with RL-Glue. Add the ability to replay saved trajectories.
This example shows how to use the special TrajectoryRecorder decorator for saving trajectories. Furthermore, it uses IPython parallel to compute the performance of many agents in parallel. It can be used over a guerilla SSH cluster over the computers in your lab, or more cleanly on an MPI, PBS or AWS cluster. For local parallel computation, execute in a separate tab: $ ipcluster start -n 4 followed by $ python learn-flat-policy.py -a 100 -n 100 pinball_simple_single.cfg
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This example shows how to use the special
TrajectoryRecorderdecorator for saving trajectories. Furthermore, it uses IPython parallel to compute the performance of many agents in parallel.It can be used over a guerilla SSH cluster over the computers in your lab, or more cleanly on an MPI, PBS or AWS cluster.
For local parallel computation, execute in a separate tab:
$ ipcluster start -n 4followed by
$ python learn-flat-policy.py -a 100 -n 100 pinball_simple_single.cfg