DiCE: The Infinitely Differentiable Monte-Carlo Estimator

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DiCE: The Infinitely Differentiable Monte-Carlo Estimator

14 February 2018

Jakob N. Foerster

Gregory Farquhar

Maruan Al-Shedivat

Tim Rocktaschel

Shimon Whiteson

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Papers citing "DiCE: The Infinitely Differentiable Monte-Carlo Estimator"

16 / 66 papers shown

Title
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 136 23 0 12 Feb 2020
Automatic Differentiable Monte Carlo: Theory and Application Shi-Xin Zhang Z. Wan H. Yao 52 17 0 20 Nov 2019
MAME : Model-Agnostic Meta-Exploration Swaminathan Gurumurthy Sumit Kumar Katia Sycara 84 15 0 11 Nov 2019
When MAML Can Adapt Fast and How to Assist When It Cannot Sébastien M. R. Arnold Shariq Iqbal Fei Sha 39 5 0 30 Oct 2019
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva Tomasz Kuśmierczyk M. Hartmann Arto Klami 42 2 0 27 Oct 2019
Functional Tensors for Probabilistic Programming F. Obermeyer Eli Bingham M. Jankowiak Du Phan Jonathan P. Chen 55 18 0 23 Oct 2019
Distilling Importance Sampling for Likelihood Free Inference D. Prangle Cecilia Viscardi 91 3 0 08 Oct 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 154 118 0 25 Sep 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning Gregory Farquhar Shimon Whiteson Jakob N. Foerster 75 17 0 23 Sep 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 57 12 0 09 Aug 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 94 416 0 25 Jun 2019
New Tricks for Estimating Gradients of Expectations Christian J. Walder Paul Roussel Richard Nock Cheng Soon Ong Masashi Sugiyama 33 4 0 31 Jan 2019
Stable Opponent Shaping in Differentiable Games Alistair Letcher Jakob N. Foerster David Balduzzi Tim Rocktaschel Shimon Whiteson 142 110 0 20 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 106 56 0 03 Nov 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 85 211 0 16 Oct 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 79 354 0 10 Oct 2017