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ECML
2006
Springer
15 years 10 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 6 months ago
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
Pierre Delarboulas, Marc Schoenauer, Michèl...
IMCSIT
2010
15 years 1 months ago
Multi-level Parallelization with Parallel Computational Services in BeesyCluster
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
Pawel Czarnul
FSTTCS
2009
Springer
15 years 11 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...
RTSS
2002
IEEE
15 years 11 months ago
State-Dependent Deadline Scheduling
This paper presents a new workload model, called the state-dependent deadline model, for applications whose high-level timing requirements may change with time. The problem is how...
Chi-Sheng Shih, Jane W.-S. Liu