17 search results - page 3 / 4 » Scaling Up Multi-agent Reinforcement Learning in Complex Dom... |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
SIGDIAL
2010
13 years 6 months ago
2010
Spoken dialogue management strategy optimization by means of Reinforcement Learning (RL) is now part of the state of the art. Yet, there is still a clear mismatch between the comp...
UAI
2008
13 years 10 months ago
2008
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
ECML
2006
Springer
14 years 6 days ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
ILP
1998
Springer
14 years 23 days ago
1998
Springer
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...