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ICML
1996
IEEE
15 years 11 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
HYBRID
2009
Springer
15 years 11 months ago
Trajectory Based Verification Using Local Finite-Time Invariance
Abstract. In this paper we propose a trajectory based reachability analysis by using local finite-time invariance property. Trajectory based analysis are based on the execution tra...
A. Agung Julius, George J. Pappas
EUROCOLT
1995
Springer
15 years 11 months ago
The structure of intrinsic complexity of learning
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
Sanjay Jain, Arun Sharma
IPCO
2010
148views Optimization» more  IPCO 2010»
15 years 9 months ago
Prize-Collecting Steiner Network Problems
In the Steiner Network problem we are given a graph with edge-costs and connectivity requirements between node pairs , . The goal is to find a minimum-cost subgraph of that contain...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...
CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 7 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...