3412 search results - page 29 / 683 » Efficient Reinforcement Learning |
117
Voted
NIPS
1994
15 years 2 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
118
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
104
Voted
ICMLA
2009
14 years 10 months ago
2009
This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
145
Voted
ABIALS
2008
Springer
15 years 2 months ago
2008
Springer
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
108
Voted
IROS
2008
IEEE
15 years 7 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...