Before revision:  Our method has three main attributes: first, it enables constant-time dynamics learning sessions between planning and only needs to store the most recent fixed-size portion of the state transition experience;
After revision:  Our method has three main attributes: first, it enables constant-time dynamics learning sessions that do not revisit training data from previous tasks, so it only needs to store the most recent fixed-size portion of the state transition experience;