4544 search results - page 102 / 909 » Reinforcement Learning with Time |
ECML
2004
Springer
14 years 2 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 ...
AIMSA
2004
Springer
14 years 21 days ago
2004
Springer
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
AAAI
2007
13 years 11 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
FLAIRS
2007
13 years 11 months ago
2007
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
WSC
2008
13 years 11 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...