This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
The workshop aims at a general assessment of facial information processing in HCI. We will discuss why certain areas of face-based HCI, such as facial expression recognition and r...
In this paper, we propose a hierarchical timing-driven Steiner tree algorithm for global routing which considers the minimization of timing delay during the tree construction as t...
We present an active switch architecture to improve the performance of systems connected via system area networks. Our programmable active switches not only flexibly route packets...