Applying statistical generalization to determine search direction for reinforcement learning of movement primitives

By Bojan Nemec, Denis Forte, Rok Vuga, Minija Tamosiunaite, Florentin Wörgötter, Ales Ude. 2012

10 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Reinforcement Learning, Robotics & Control

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. George Dimitri Konidaris
2. Bruno Castro da Silva
3. Andrew Barto
4. Sergey Levine
5. Jan Peters
6. Pierre-Yves Oudeyer
7. Gerhard Neumann
8. J. Urgen Schmidhuber

In Control and Systems Engineering

1. George Dimitri Konidaris
2. Andrew Barto
3. Bruno Castro da Silva
4. Huizhen Yu
5. Dimitri P. Bertsekas
6. Csaba Szepesvari
7. Jan Peters
8. Richard S. Sutton

In Reinforcement Learning

1. George Dimitri Konidaris
2. Bruno Castro da Silva
3. Andrew Barto
4. Sergey Levine
5. Shie Mannor
6. Jan Peters
7. Philip S. Thomas
8. Peter Stone

In Robotics & Control

1. Andrew Barto
2. George Dimitri Konidaris
3. Bruno Castro da Silva
4. Jan Peters

Citations in the corpus

• Learning Parameterized Skills (2012, methodology): “[50] partially addressed this limitation by extending the DMP framework with a gradient-based method to automatically determine appropriate metaparameters for executing a given task.”