1166 search results - page 21 / 234 » Negotiating Using Rewards |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
IJCAI
2001
13 years 10 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
SAC
2006
ACM
14 years 2 months ago
2006
ACM
This note describes a sample implementation of automated negotiations in an e-commerce modeling multi-agent system. A specific set of rules is used for enforcing negotiation mech...
ALT
2007
Springer
14 years 5 months ago
2007
Springer
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...