3412 search results - page 46 / 683 » Efficient Reinforcement Learning |
105
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ICMLA
2008
15 years 2 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
99
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
111
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
119
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ICML
2005
IEEE
16 years 1 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...
97
Voted
CEC
2010
IEEE
15 years 1 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 ...