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AAMAS
2002
Springer
15 years 18 days ago
Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents
Christopher H. Brooks, Edmund H. Durfee
62
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ATAL
2010
Springer
14 years 7 months ago
Self-organisation in an agent network via learning
Dayong Ye, Minjie Zhang, Danny Sutanto
IJCAI
2001
15 years 2 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz