International Conference on Intelligent Robots and Systems Reinforcement Learning for a Vision Based Mobile Robot

By Chris Gaskett, L. Fletcher, A. Zelinsky

How researchers see this paper

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

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

Citations in the corpus

• Reinforcement learning in robotics: A survey (2013, methodology): “For example, multilayer perceptrons were used to learn a wandering behavior and visual servoing (Gaskett et al., 2000).”