Branching Time Active Inference: the theory and its generality

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Branching Time Active Inference: the theory and its generality

22 November 2021

Théophile Champion

Lancelot Da Costa

Howard L. Bowman

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Papers citing "Branching Time Active Inference: the theory and its generality"

9 / 9 papers shown

Title
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 74 53 0 03 Sep 2020
Deep active inference agents using Monte-Carlo methods Zafeirios Fountas Noor Sajid P. Mediano Karl J. Friston 82 106 0 07 Jun 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 50 69 0 17 Apr 2020
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 69 103 0 08 Jul 2019
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 89 587 0 18 Sep 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 172 7,662 0 22 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,449 0 12 Dec 2010

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