lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
Transaction-level modeling has been touted to improve simulation performance and modeling efficiency for early design space exploration. But no tools are available to generate suc...
Dongwan Shin, Andreas Gerstlauer, Junyu Peng, Rain...
Enterprise systems are load tested for every added feature, software updates and periodic maintenance to ensure that the performance demands on system quality, availability and res...
Haroon Malik, Bram Adams, Ahmed E. Hassan, Parmind...
Computer-generated texts are yet far from human-generated ones. Along with the limited use of vocabulary and syntactic structures sent, their lack of creativeness and abstraction i...