495 search results - page 36 / 99 » Constructing States for Reinforcement Learning |
141
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ECML
2004
Springer
15 years 9 months ago
2004
Springer
Given the pattern-based multi-predictors of the stock price, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset ...
120
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WSC
2008
15 years 6 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
127
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IJCAI
2007
15 years 5 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
133
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NIPS
2000
15 years 5 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
142
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ICANNGA
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...