4544 search results - page 56 / 909 » Reinforcement Learning with Time |
143
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
118
Voted
CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...
156
Voted
AAAI
2006
15 years 5 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
120
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ECAI
2008
Springer
15 years 5 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
176
Voted
ESANN
2008
15 years 5 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...