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本帖最后由 roywwcheng 于 2012-3-20 00:10 编辑
(Position filled. Thanks!)
2 PH.D. POSITIONS
PREFERENCE-BASED REINFORCEMENT LEARNING
Darmstadt and Marburg, Germany
We are looking for two research assistants (Ph.D. students or Post-Docs)
to work on the project "Reinforcement Learning with Qualitative
Feedback" funded by the German Research Foundation (DFG
Schwerpunktprogramm "Autonomous Learning"). This project is a joint
initiative of the working groups of Prof. Johannes Fürnkranz (Technical
University Darmstadt) and Prof. Eyke Hüllermeier (Philipps University
Marburg).
The main goal of the project is to develop a generalized setting of
reinforcement learning, in which the common quantitative reward signal
is replaced by qualitative feedback in the form of pairwise comparisons
or rankings of actions, states, or trajectories. Building on novel
methods for preference learning, the idea is to equip the learning agent
with qualitative policy models, such as ranking functions sorting its
available actions from most to least promising, as well as algorithms
for learning such models from qualitative feedback of the above kind.
In addition to theoretical research, we are planning to conduct two case
studies, one in the field of game playing (learning from annotated game
protocols, e.g., annotated chess games) and another one in the field of
medical therapy optimization (design of cancer clinical trials).
The positions are for up to 3 years and can be filled immediately.
如果感兴趣,欢迎和我们联系~ |
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