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» Agent Programming with Declarative Goals
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ICANN
1997
Springer
13 years 11 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 7 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...
CHI
1999
ACM
13 years 12 months ago
A Visual Medium for Programmatic Control of Interactive Applications
The VisMap system provides for “visual manipulation” of arbitrary off-the-shelf applications, through an application’s graphical user interface. VisMap’s API-independent c...
Luke S. Zettlemoyer, Robert St. Amant
RAS
2010
117views more  RAS 2010»
13 years 6 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
ICLP
2005
Springer
14 years 1 months ago
Preference Reasoning
Abstract. Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds: qualitative, quantitative, conditional, positive or negative, to name...
Francesca Rossi