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NIPS
1993
15 years 1 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 3 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
NCA
2003
IEEE
15 years 5 months ago
A Study of Providing Statistical QoS in a Differentiated Sevices Network
In this paper, we propose and analyze a methodology for providing statistical guarantees within the diffserv model in a network, that uses static-priority schedulers. We extend th...
Shengquan Wang, Dong Xuan, Riccardo Bettati, Wei Z...
WSC
2008
15 years 2 months ago
The APIOBPCS Deziel and Eilon parameter configuration in supply chain under progressive information sharing strategies
The aim of this paper is to investigate how different smoothing parameter levels of the Automatic Pipeline Inventory and Order Based Production Control System smoothing replenishm...
Salvatore Cannella, Elena Ciancimino
IROS
2009
IEEE
187views Robotics» more  IROS 2009»
15 years 6 months ago
Three-dimensional Limit Cycle Walking with joint actuation
— This paper describes 3D biped walking generation and control based on Limit Cycle Walking. In our study, we use the simplest possible 3D biped model with three DOFs, incorporat...
Kentaro Miyahara, Yuzuru Harada, Dragomir N. Nench...