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ICCBR
2001
Springer
15 years 2 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
68
Voted
SAT
2004
Springer
89views Hardware» more  SAT 2004»
15 years 2 months ago
Using Rewarding Mechanisms for Improving Branching Heuristics
The variable branching heuristics used in the most recent and most effective SAT solvers, including zChaff and BerkMin, can be viewed as consisting of a simple mechanism for rewa...
Elsa Carvalho, João P. Marques Silva
ICML
1999
IEEE
15 years 10 months ago
Using Reinforcement Learning to Spider the Web Efficiently
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
Jason Rennie, Andrew McCallum
IJCAI
2007
14 years 11 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
ICML
2006
IEEE
15 years 10 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...