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» A Hybrid Multiagent Reinforcement Learning Approach Using St...
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92
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IJAIT
2008
60views more  IJAIT 2008»
15 years 1 months ago
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
114
Voted
ICTAI
2007
IEEE
15 years 7 months ago
Multi-agent Reinforcement Learning Using Strategies and Voting
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
129
Voted
AAAI
2010
15 years 2 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
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...
Aaron Wilson, Alan Fern, Prasad Tadepalli
114
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ICMLA
2009
14 years 10 months ago
Multiagent Transfer Learning via Assignment-Based Decomposition
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Scott Proper, Prasad Tadepalli
116
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IAT
2010
IEEE
14 years 11 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng