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AI
1998
Springer
13 years 7 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
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 6 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda
RTAS
2010
IEEE
13 years 6 months ago
Feedback Thermal Control for Real-time Systems
—Thermal control is crucial to real-time systems as excessive processor temperature can cause system failure or unacceptable performance degradation due to hardware throttling. R...
Yong Fu, Nicholas Kottenstette, Yingming Chen, Che...
ICES
2010
Springer
277views Hardware» more  ICES 2010»
13 years 5 months ago
An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep...
SIGSOFT
2010
ACM
13 years 5 months ago
Finding latent performance bugs in systems implementations
Robust distributed systems commonly employ high-level recovery mechanisms enabling the system to recover from a wide variety of problematic environmental conditions such as node f...
Charles Edwin Killian, Karthik Nagaraj, Salman Per...