We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
The utility of including cyclic flow of control in plans has been long recognized by the planning community. Loops in a plan increase both its applicability and the compactness o...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
Selection bias, caused by preferential exclusion of samples from the data, is a major obstacle to valid causal and statistical inferences; it cannot be removed by randomized exper...
The objective of this research is the exploration how affective knowledge used in global controlling mechanisms for public information systems with lifelike presentation agents wil...
This paper presents a protocol for packet switched optical LANs using a star topology. The key element in this network is the use of an intelligent hub, which controls the traffic...