1166 search results - page 96 / 234 » Negotiating Using Rewards |
123
Voted
GECCO
2006
Springer
15 years 5 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...
116
click to vote
ACL
2008
15 years 3 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...
123
Voted
WSC
1998
15 years 3 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...
112
click to vote
ML
1998
ACM
15 years 1 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...
124
click to vote
ICRA
2010
IEEE
15 years 20 days 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...