Reinforcement Planning: RL for optimal planners

By Matthew Zucker, J. Bagnell. 2012

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Reinforcement Learning

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. Sergey Levine
2. Jan Peters
3. Pieter Abbeel
4. Jens Kober
5. J. Bagnell
6. Chelsea Finn
7. Gerhard Neumann
8. Vladlen Koltun

In Computer Vision and Pattern Recognition

1. Jan Peters
2. Jens Kober
3. J. Bagnell
4. Luc Van Gool
5. Jitendra Malik
6. Trevor Darrell
7. Andrew Zisserman
8. Andrea Vedaldi

In Control and Systems Engineering

1. Jens Kober
2. Jan Peters
3. J. Bagnell
4. Sergey Levine
5. Pieter Abbeel
6. Gerhard Neumann
7. Marc Peter Deisenroth
8. Stefan Schaal

In Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Jens Kober
4. Jan Peters
5. J. Bagnell
6. Chelsea Finn
7. Gerhard Neumann
8. Marc Peter Deisenroth

Citations in the corpus

• Reinforcement learning in robotics: A survey (2013, methodology): “In (Sorg et al., 2010; Zucker and Bagnell, 2012), complex policies are derived by adapting a reward function for simple optimal control problems using policy search techniques.”