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ICPR
2006
IEEE
14 years 11 months ago
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
Siwei Luo, Yu Zheng, Ziang Lv
DAC
2007
ACM
14 years 11 months ago
Enhancing FPGA Performance for Arithmetic Circuits
FPGAs offer flexibility and cost-effectiveness that ASICs cannot match; however, their performance is quite poor in comparison, especially for arithmetic dominated circuits. To ad...
Philip Brisk, Ajay K. Verma, Paolo Ienne, Hadi Par...
DAC
1999
ACM
14 years 11 months ago
A Multiscale Method for Fast Capacitance Extraction
The many levels of metal used in aggressive deep submicron process technologies has made fast and accurate capacitance extraction of complicated 3-D geometries of conductors essen...
Johannes Tausch, Jacob K. White
DAC
2002
ACM
14 years 11 months ago
A solenoidal basis method for efficient inductance extraction
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Hemant Mahawar, Vivek Sarin, Weiping Shi
ICML
1999
IEEE
14 years 10 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier