2088 search results - page 251 / 418 » The SPARK Agent Framework |
168
click to vote
ATAL
2008
Springer
15 years 8 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
143
click to vote
IJCAI
2007
15 years 8 months ago
2007
Classic direct mechanisms require full type (or utility) revelation from participating agents, something that can be very difficult in practical multi-attribute settings. In this...
157
click to vote
UAI
2008
15 years 8 months ago
2008
We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on valu...
186
click to vote
AAAI
2000
15 years 8 months ago
2000
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...
169
click to vote
ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...