651 search results - page 102 / 131 » Algorithms for Inverse Reinforcement Learning |
77
Voted
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
129
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
75
Voted
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
SCVMA
2004
Springer
15 years 3 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...