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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
16 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
WINE
2007
Springer
124views Economy» more  WINE 2007»
16 years 25 days ago
Stochastic Models for Budget Optimization in Search-Based Advertising
Internet search companies sell advertisement slots based on users’ search queries via an auction. Advertisers have to solve a complex optimization problem of how to place bids o...
S. Muthukrishnan, Martin Pál, Zoya Svitkina
ICOIN
2005
Springer
16 years 7 days ago
On the Hidden Terminal Problem in Multi-rate Ad Hoc Wireless Networks
Multi-hop ad hoc wireless networks generally use the IEEE 802.11 Distributed Coordination Function (DCF) MAC protocol, which utilizes the request-to-send/clear-to-send (RTS/CTS) me...
Joon Yoo, Chongkwon Kim
ATAL
2010
Springer
15 years 7 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
IJRR
2007
113views more  IJRR 2007»
15 years 6 months ago
Broadcast Feedback of Stochastic Cellular Actuators Inspired by Biological Muscle Control
— This paper presents a broadcast feedback approach to the distributed stochastic control of an actuator system consisting of many cellular units. This control architecture was i...
Jun Ueda, Lael Odhner, H. Harry Asada