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» Rational action in agent programs with prioritized goals
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ICANN
1997
Springer
14 years 2 months ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 10 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...
AAAI
2007
14 years 1 months ago
A Modal Logic for Beliefs and Pro Attitudes
Agents’ pro attitudes such as goals, intentions, desires, wishes, and judgements of satisfactoriness play an important role in how agents act rationally. To provide a natural an...
Kaile Su, Abdul Sattar, Han Lin, Mark Reynolds
IROS
2007
IEEE
184views Robotics» more  IROS 2007»
14 years 5 months ago
Integration of emotional reactions on human facial expressions into the robot head MEXI
— Emotion recognition and adequate reactions are a crucial part of human communication and hence should also be considered for interactions between humans and robots. In this pap...
Natascha Esau, Lisa Kleinjohann, Bernd Kleinjohann
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 9 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone