Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

In this paper, we introduce pilco, a practical, data-efficient model-based policy search
method. Pilco reduces model bias, one of the key problems of model-based reinforcement …

Policy search is a subfield in reinforcement learning which focuses on finding good
parameters for a given policy parametrization. It is well suited for robotics as it can cope with …