Sample Efficient Reinforcement Learning with Gaussian Processes

By Robert C. Grande, Thomas J. Walsh, Jonathan P. How. 2014

68 citations recorded by the source corpus.

How researchers see this paper

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

1. Jason Pazis
2. Ronald E. Parr
3. Sergey Levine
4. Herke Van Hoof
5. Csaba Szepesvari
6. Jan Peters
7. Mohammad Ghavamzadeh
8. Pieter Abbeel

Citations in the corpus

• On Oracle-Efficient PAC RL with Rich Observations (2018, background): “[13] Robert Grande, Thomas Walsh, and Jonathan How.”
• Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates (2016, background): “2) Like all Q -learning inspired algorithms, DGPQ requires sig-nificantly more samples than fixed-point based methods.”