615 search results - page 84 / 123 » A social reinforcement learning agent |
95
Voted
IJCAI
2003
15 years 2 months ago
2003
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
141
Voted
SAB
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. In this work, we are interested in understanding how emotional interactions with a social partner can bootstrap increasingly complex behaviors such as social referencing....
99
Voted
PPSN
2004
Springer
15 years 6 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
98
Voted
TSMC
2008
15 years 19 days ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
119
Voted
ITS
2010
Springer
15 years 5 months ago
2010
Springer
Tutorial Dialog has been shown to be effective in supporting both individual as well as group learners. However, unlike the case with individual learners, teams of learners often i...