8 search results - page 1 / 2 » Transfer Learning in Real-Time Strategy Games Using Hybrid C... |
IJCAI
2007
13 years 6 months ago
2007
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...
FLAIRS
2008
13 years 7 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
EWCBR
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
ICCBR
2005
Springer
13 years 10 months ago
2005
Springer
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
AAAI
2010
13 years 6 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...