... world to support model- based reinforcement learning We address the challenges of transfer learning in heterogeneous environments with varying tasks We present an efficient, online framework that, ... practicality in both simulated and real robotics domains Transferring Expectations in Model- based Reinforcement Learning, Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong, Proceedings of the Advances in ... problems Focusing on model- based RL, this dissertation examines the problems of learning in complex environments In particular, we focus on two problems: learning representations, and transferring representations...