Deep Reinforcement Learning and the Deadly Triad

6 December 2018

Papers citing "Deep Reinforcement Learning and the Deadly Triad"

10 / 60 papers shown

Title
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 29 23 0 18 Sep 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 235 0 13 Jul 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 9 0 26 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 149 6,671 0 13 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 31 32 0 31 May 2020
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 29 149 0 28 Oct 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 37 189 0 12 Jun 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 0 26 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012