Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.01281
Cited By
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
2 December 2020
Matthias Rosynski
Frank Kirchner
Matias Valdenegro-Toro
FAtt
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?"
3 / 3 papers shown
Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
Pablo Samuel Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
58
0
0
08 Mar 2025
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
Jasmina Gajcin
Ivana Dusparic
CML
32
3
0
08 Mar 2023
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin
Adil Zouitine
Mehdi Zouitine
Emmanuel Rachelson
40
30
0
16 Sep 2022
1