Reward Shaping

By Eric Wiewiora. 2010

38 citations recorded by the source corpus.

Subfields: Artificial Intelligence

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. Ibrahim Sobh
2. B. R. Kiran
3. Patrick Pérez
4. Senthil Kumar Yogamani
5. Ahmad A. Al Sallab
6. Patrick Mannion
7. Victor Talpaert

Citations in the corpus

• Deep Reinforcement Learning for Autonomous Driving: A Survey (2020, background): “Reward shaping allows a reward function to be engineered in a way to provide more frequent feedback signal on appropriate behaviours [46], which is especially useful in domains with sparse rewards.”