139 search results - page 15 / 28 » Model-based function approximation in reinforcement learning |
ICPR
2006
IEEE
16 years 26 days ago
2006
IEEE
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
NIPS
1994
15 years 1 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
113
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ICML
2003
IEEE
15 years 5 months ago
2003
IEEE
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
124
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IWLCS
2005
Springer
15 years 5 months ago
2005
Springer
Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...