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AI
1998
Springer
15 years 6 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
HPCA
1999
IEEE
15 years 11 months ago
A Study of Control Independence in Superscalar Processors
Control independence has been put forward as a significant new source of instruction-level parallelism for future generation processors. However, its performance potential under p...
Eric Rotenberg, Quinn Jacobson, James E. Smith
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
15 years 12 months ago
Software Streaming via Block Streaming
Software streaming allows the execution of streamenabled software on a device even while the transmission/streaming may still be in progress. Thus, the software can be executed wh...
Pramote Kuacharoen, Vincent John Mooney, Vijay K. ...
ISQED
2007
IEEE
160views Hardware» more  ISQED 2007»
16 years 27 days ago
On-Chip Inductance in X Architecture Enabled Design
The inductance effects become significant for sub-100nm process designs due to increasing interconnect lengths, lower interconnect resistance values and fast signal transition tim...
Santosh Shah, Arani Sinha, Li Song, Narain D. Aror...
IROS
2009
IEEE
137views Robotics» more  IROS 2009»
16 years 1 months ago
Decentralized planning for dynamic motion generation of multi-link robotic systems
— This paper presents a decentralized planning method for generating dynamic whole body motions of multilink robots including humanoids. First, a robotic system will be modeled a...
Yuichi Tazaki, Hisashi Sugiura, Herbert Janssen, C...