Approximate Inference and Stochastic Optimal Control

20 September 2010

Papers citing "Approximate Inference and Stochastic Optimal Control"

13 / 13 papers shown

Title
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning Dailin Hu Pieter Abbeel Roy Fox 42 2 0 28 Nov 2021
Entropy Regularized Motion Planning via Stein Variational Inference Alexander Lambert Byron Boots 90 12 0 11 Jul 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 122 12 0 11 Mar 2021
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman Dieter Fox Byron Boots F. Ramos 107 62 0 15 Nov 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 91 53 0 03 Sep 2020
On the Relationship Between Active Inference and Control as Inference Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 79 63 0 23 Jun 2020
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 75 11 0 17 Jun 2020
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 89 103 0 08 Jul 2019
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
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes Roy Fox 29 0 0 24 Sep 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 99 1,013 0 02 Mar 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 112 341 0 28 Dec 2015
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Pedro A. Ortega Jordi Grau-Moya Tim Genewein David Balduzzi Daniel A. Braun 111 2 0 09 Jun 2012