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ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 8 months ago
Learning Team Strategies: Soccer Case Studies
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...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
TSMC
2002
136views more  TSMC 2002»
13 years 8 months ago
Expertness based cooperative Q-learning
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
Majid Nili Ahmadabadi, Masoud Asadpour
ICCBR
2005
Springer
14 years 2 months ago
Advertising Strategies: Learning Competence through Cooperative Game Playing
In this paper we consider the competition on the Internet between information providers to maximise their exposure to a relevant audience. Spammers and Search engine gamers adopt a...
Paolo Avesani, Conor Hayes
ATAL
2004
Springer
14 years 2 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
AIEDU
2008
162views more  AIEDU 2008»
13 years 8 months ago
Designing Learning by Teaching Agents: The Betty's Brain System
The idea that teaching others is a powerful way to learn is intuitively compelling and supported in the research literature. We have developed computer-based, domain-independent Te...
Krittaya Leelawong, Gautam Biswas