Increasing the Action Gap: New Operators for Reinforcement Learning

15 December 2015

Papers citing "Increasing the Action Gap: New Operators for Reinforcement Learning"

6 / 6 papers shown

Title
Bellman operator convergence enhancements in reinforcement learning algorithms David Krame Kadurha Domini Jocema Leko Moutouo Yae Ulrich Gaba 22 0 0 20 May 2025
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 87 1 0 06 Nov 2024
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 33 336 0 28 Dec 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 125 7,590 0 22 Sep 2015
Compress and Control J. Veness Marc G. Bellemare Marcus Hutter Alvin Chua Guillaume Desjardins OffRL 41 29 0 19 Nov 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 70 2,992 0 19 Jul 2012