Credit Assignment Techniques in Stochastic Computation Graphs

Credit Assignment Techniques in Stochastic Computation Graphs

7 January 2019

David Silver

Papers citing "Credit Assignment Techniques in Stochastic Computation Graphs"

11 / 11 papers shown

Title
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus Boris Ivanovic Shie Mannor Marco Pavone 36 46 0 13 Dec 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 43 18 0 26 May 2022
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 31 15 0 01 Apr 2021
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 85 0 06 Jul 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 29 510 0 30 Mar 2020
Value-driven Hindsight Modelling A. Guez Fabio Viola T. Weber Lars Buesing Steven Kapturowski Doina Precup David Silver N. Heess OffRL 16 12 0 19 Feb 2020
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning Gregory Farquhar Shimon Whiteson Jakob N. Foerster 13 18 0 23 Sep 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 13 67 0 18 Sep 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 397 0 25 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 71 0 13 Jun 2019
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 14 70 0 28 May 2019