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» Learning Inverse Dynamics: a Comparison
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ICML
2010
IEEE
13 years 7 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
EDM
2008
121views Data Mining» more  EDM 2008»
13 years 7 months ago
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors
We compare the purposes, inputs, representations, and assumptions of three methods to evaluate the fine-grained interactions of intelligent tutors with their students. One method i...
Jack Mostow, Xiaonan Zhang
AMAST
2010
Springer
13 years 1 months ago
Learning in a Changing World, an Algebraic Modal Logical Approach
Abstract. We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a ch...
Prakash Panangaden, Mehrnoosh Sadrzadeh
ISCIS
2003
Springer
13 years 11 months ago
Comparison of New Simple Weighting Functions for Web Documents against Existing Methods
Abstract. Term weighting is one of the most important aspects of modern Web retrieval systems. The weight associated with a given term in a document shows the importance of the ter...
Byurhan Hyusein, Ahmed Patel, Ferad Zyulkyarov
IUI
2012
ACM
12 years 1 months ago
Probabilistic pointing target prediction via inverse optimal control
Numerous interaction techniques have been developed that make “virtual” pointing at targets in graphical user interfaces easier than analogous physical pointing tasks by invok...
Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell