This PR adds functionality to run neural net policies with non-zero variance on the PR2/agent_ros. This is crucial for running MDGPS with agent_ros.
This PR also adds a 2 second wait after the agent_ros reset, which is important for running experiments on the real robot, but not necessary for gazebo experiments (and will slow down gazebo experiments).
Lastly, it includes a minor bug fix in neuralnetworkcaffe.cpp.
This PR adds functionality to run neural net policies with non-zero variance on the PR2/agent_ros. This is crucial for running MDGPS with agent_ros.
This PR also adds a 2 second wait after the agent_ros reset, which is important for running experiments on the real robot, but not necessary for gazebo experiments (and will slow down gazebo experiments).
Lastly, it includes a minor bug fix in neuralnetworkcaffe.cpp.