• Action selection and coordination of autonomous agents for UAV surveillance 

    Han, David Ching-Wey (2012-02-01)
    Agents, by definition, (1) are situated in an environment upon which their actions affect changes and (2) have some level of autonomy from the control of humans or other agents. Being situated requires that the agent have ...
  • Action selection in modular reinforcement learning 

    Zhang, Ruohan (2014-09-03)
    Modular reinforcement learning is an approach to resolve the curse of dimensionality problem in traditional reinforcement learning. We design and implement a modular reinforcement learning algorithm, which is based on three ...