1166 search results - page 48 / 234 » Negotiating Using Rewards |
NIPS
2007
13 years 10 months ago
2007
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
AAAI
2006
13 years 10 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We consider a bandit problem which involves sequential sampling from two populations (arms). Each arm produces a noisy reward realization which depends on an observable random cov...
ICSOC
2007
Springer
14 years 3 months ago
2007
Springer
Software systems built by composing existing services are more and more capturing the interest of researchers and practitioners. The envisaged long term scenario is that services, ...
PRICAI
1999
Springer
14 years 1 months ago
1999
Springer
The optimal decision for an agent to make at a given game situation often depends on the decisions that other agents make at the same time. Rational agents will try to find a stabl...