Performance Bounds for Lambda Policy Iteration and Application to the Game of Tetris

By Bruno Scherrer. 2007

12 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. Yonathan Efroni
2. Shie Mannor
3. Bruno Scherrer
4. Gal Dalal
5. Sergey Levine
6. Csaba Szepesvari
7. Ofir Nachum
8. Alekh Agarwal

Citations in the corpus

• Approximate Policy Iteration Schemes: A Comparison (2014, methodology): “As a matter of fact, several other dynamic programming algorithms, namely AVI (Munos, 2007), λPI (Scherrer, 2013), AMPI (Scherrer et al.”
• Beyond the One Step Greedy Approach in Reinforcement Learning (2018, background): “By simple linear algebra arguments (see e.g. (Scherrer, 2013a)), one can see that Comparing (1) and (15), we can interpret (15), given a fixed v , as the value of policy π in a surrogate stationary MDP.”