By focusing on this last form, we study the problem of extracting an objective function explaining the demonstrations from an over-specified set of candidate reward functions, and using this information for self-refinement of the skill.
After years of self-refinement, Sherrills understands the problem as "blaming versus beholding".
One option for implementing such self-refinement is to use an EM-based stochastic optimization algorithm to refine the GMM parameters encoding the movement, similarly as in [18].
(a-f) A sample search in the augmented goal-policy space ζ is plotted for six selected self-refinement iterations.
(b) Reproduction on the robot after self-refinement.
A slight man wearing a plain gray T-shirt and khakis, Mr. Schmidt, 40, addresses his audience as a bumbling self-editor, beginning statements and taking them back for self-questioning or refinement halfway through.
In some situations, the design of efficient self-refinement algorithms is crucial for the robot to learn how to perform a task in new situations [16].
The self-refinement process consists of searching for new solutions in the policy parameter space, associate a reward to each trial, and then sample from the exploration space by a weighted combination of the most successful trials obtained so far.
All of these are what Mr. Wheal calls, apologetically, "hacks": techniques for busting out of the overwhelmed modern condition into a place of creativity, passion, focus, tranquillity, vitality and self-refinement.
The approach is tested in simulation by imitation and self-refinement of an octopus reaching motion.
It teaches self-refinement and helps build self-esteem, two essential qualities that enables young people to excel in life.
