PhD thesis, University of Massachusetts, Amherst, MA, 1992. Having eventually reached a sufficiently high resolution, it discovers the gap and proceeds greedily towards the goal, only to be temporarily blocked by the goal s barrier region. The second trial. Reinforcement learning and its application to control . PhD thesis, University of Massachusetts, Amherst, MA, 1992.
Generalization replaces costly training experience.
PhD thesis, Department of Computer and Information Science, University of Massachusetts, 1992. Training such a network is not conceptually difficult, but using the network to find the optimal action can be a challenge. Reinforcement learning and its application to control . The sensory feedback to the controller was also updated at each time step. For the purpose of comparison, we also attempted to train a controller on the key pressing task without resorting to shaping.