Policy Improvement : Between Black-Box Optimization and Episodic Reinforcement Learning

By Freek Stulp, Olivier Sigaud. 2013

Subfields: Reinforcement Learning, Optimization & Training

How researchers see this paper

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

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 Optimization & Training

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

Citations in the corpus

• Learning Parameterized Skills (2012, background): “Black-box policy improvement methods [71], for instance, often ignore state information.”