VIREL: A Variational Inference Framework for Reinforcement Learning

3 November 2018

Papers citing "VIREL: A Variational Inference Framework for Reinforcement Learning"

10 / 10 papers shown

Title
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 47 7 0 22 Sep 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 28 1 0 17 Jul 2022
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 32 21 0 26 Oct 2021
Variational Model-based Policy Optimization Yinlam Chow Brandon Cui Moonkyung Ryu Mohammad Ghavamzadeh OffRL 11 12 0 09 Jun 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 38 54 0 24 Apr 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos M. Geist 25 42 0 31 Mar 2020
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 27 48 0 03 Jan 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Asymptotically exact data augmentation: models, properties and algorithms Maxime Vono N. Dobigeon P. Chainais 32 27 0 15 Feb 2019