2011 search results - page 335 / 403 » Universal Reinforcement Learning |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
NIPS
1993
13 years 9 months ago
1993
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
PEPM
2011
ACM
12 years 11 months ago
2011
ACM
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
ALT
2004
Springer
14 years 5 months ago
2004
Springer
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...