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IAT
2006
IEEE
15 years 9 months ago
A Q-decomposition LRTDP Approach to Resource Allocation
This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem, the merging of tw...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
AGENTS
2001
Springer
15 years 7 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
VLDB
1995
ACM
96views Database» more  VLDB 1995»
15 years 6 months ago
The Fittest Survives: An Adaptive Approach to Query Optimization
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
Hongjun Lu, Kian-Lee Tan, Son Dao
AIPS
2006
15 years 4 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
ERLANG
2004
ACM
15 years 8 months ago
On modelling agent systems with Erlang
Multi-agent systems are a kind of concurrent distributed systems. In this work, some guidelines on how to create multi-agent systems using Erlang are presented. The modelled syste...
Carlos Varela, Carlos Abalde, Laura M. Castro, Jos...