43 search results - page 4 / 9 » Autonomous Inter-Task Transfer in Reinforcement Learning Dom... |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
COGSR
2010
13 years 2 months ago
2010
Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of c...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
AAAI
2007
13 years 10 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...