1166 search results - page 96 / 234 » Negotiating Using Rewards |
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
ACL
2008
13 years 11 months ago
2008
We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
WSC
1998
13 years 11 months ago
1998
This paper reports simulation methods and results for analyzing a self-adjusting Quality of Service (QoS) control scheme for multimedia/telecommunication systems based on resource...
ML
1998
ACM
13 years 9 months ago
1998
ACM
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...