132 search results - page 7 / 27 » Rewarding Behaviors |
NIPS
2007
13 years 11 months ago
2007
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
IJCAI
2003
13 years 11 months ago
2003
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is...
CG
2010
Springer
13 years 4 months ago
2010
Springer
The behavior of a human player in a game expresses the personality of that player. Personality is an important characteristic for modeling the player's profile. In our researc...
AAAI
2007
13 years 12 months ago
2007
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
AAAI
2011
12 years 9 months ago
2011
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...