Design of Experiments for Reinforcement Learning

This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.

User Reviews

Average Rating: [0]

Submit Your Review

Display Name
Email
Rate

Title

Message


 

jQuery(function(){
jQuery(“.rateit”).rateit();
jQuery(“#wpdm-user-review-form”).submit(function(){
jQuery(“#wpdm-submit-review-button”).attr(“disabled”,”disabled”).html(“ Please Wait…”);
jQuery(this).ajaxSubmit({
success:function(res){
if(!res.match(/ok/)) {
jQuery(“#wpdm-user-review-form”).append(“

“+res+”

“);
jQuery(“#wpdm-submit-review-button”).removeAttr(“disabled”).html(“ Submit Review”);
} else {
jQuery(“#wpdm-submit-review-button”).html(“ Done!”);
jQuery(“#wpdm-user-review-form”).append(“

Thanks for your comment! It will be published after review within a short time

“);
}
}
})
return false;
});
jQuery(“#wpdm-submit-reply-form”).click(function(){
jQuery(“#wpdm-submit-reply-form”).attr(“disabled”,”disabled”).html(“Please Wait…”);
jQuery(“#wpdm-user-reply-form”).ajaxSubmit({
success:function(res){
jQuery(“#wpdm-user-reply-form”).append(“

Thanks for your comment! It will be published after review within a short time

“);
jQuery(“#wpdm-submit-reply-form”).html(“Done!”);
}
})
return false;
});
jQuery(“.reply-comment”).click(function(){
jQuery(“#wpdm-reply-for”).val(this.rel);
});
});

The post Design of Experiments for Reinforcement Learning appeared first on ZEbook.

Read Source: Design of Experiments for Reinforcement Learning»

Leave a Reply

Your email address will not be published.