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EWCBR
2008
Springer
13 years 7 months ago
Situation Assessment for Plan Retrieval in Real-Time Strategy Games
Case-Based Planning (CBP) is an effective technique for solving planning problems that has the potential to reduce the computational complexity of the generative planning approache...
Kinshuk Mishra, Santiago Ontañón, As...
IJCAI
2007
13 years 7 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...
ICCBR
2005
Springer
13 years 11 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova
AAAI
2012
11 years 8 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
ISDA
2010
IEEE
13 years 3 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...