355 search results - page 4 / 71 » Online Learning and Exploiting Relational Models in Reinforc... |
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
88
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...