A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation

12 June 2021

Papers citing "A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation"

7 / 57 papers shown

Title
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 156 7,623 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 304 13,214 0 09 Sep 2015
Temporal-Difference Networks R. Sutton B. Tanner PINN OOD 59 94 0 21 Apr 2015
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning R. Sutton A. R. Mahmood Martha White 82 269 0 14 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,002 0 19 Jul 2012
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 291 697 0 23 Mar 2011