Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
In formal approaches to commonsense reasoning about actions. the Ramification Problem denotes the problem of handling indirect effects which implicitly derive from so-called state...
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more di erent languages. This paper introduces...
Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Ro...
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Coalition formation is a key topic in multiagent systems. One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coal...
Tuomas Sandholm, Kate Larson, Martin Andersson, On...