Fetching the paper…
Reading the bibliography…
We address the problem of planning under uncertainty, where an agent must choose actions that not only achieve desired outcomes but also reduce uncertainty.
Bayesian statistics and the design of experiments
Dennis V. Lindley · 1956
Earlier work this paper cites.
Planning by probabilistic inference
Hagai Attias · 2003
Earlier work this paper cites.
Linearly-solvable markov decision problems
Emanuel Todorov · 2006
Earlier work this paper cites.
Robot trajectory optimization using approximate inference
Marc Toussaint · 2009
Earlier work this paper cites.
The free-energy principle: a unified brain theory?
Karl Friston · 2010
Earlier work this paper cites.
Dynamic Programming and Optimal Control, volume 2, 4th edition
Dimitri Bertsekas · 2012
Earlier work this paper cites.
Optimal control as a graphical model inference problem
H.J. Kappen, V. Gómez, and M. Opper · 2012
Earlier work this paper cites.
Optimal behavioral hierarchy
Alec Solway and Matthew M Botvinick · 2012
Earlier work this paper cites.
Stochastic optimal control as approximate inference: A new perspective
Konrad Rawlik, Marc Toussaint, and Sethu Vijayakumar · 2013
Cited alongside, same era.
Active inference and epistemic value
Karl Friston, Thomas FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, and Giovanni Pezzulo · 2015
Cited alongside, same era.
Reinforcement Learning: An Introduction, 2nd edition
Richard S Sutton and Andrew G Barto · 2018
Cited alongside, same era.
Sophisticated Inference
Karl Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, and Thomas Parr · 2021
Cited alongside, same era.
Variational Message Passing and Local Constraint Manipulation in Factor Graphs
İsmail Şenöz, Thijs van de Laar, Dmitry Bagaev, and Bert de Vries · 2021
Cited alongside, same era.
A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning
Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro, Giovanni Fioretti, Francesco Verolla, and Amedeo Buonanno · 2022
Reactive Message Passing for Scalable Bayesian Inference
Dmitry Bagaev and Bert de Vries · 2023
Later among the works it cites.
RxInfer: A Julia package for reactive real-time Bayesian inference
Dmitry Bagaev, Albert Podusenko, and Bert De Vries · 2023
Later among the works it cites.
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Bert De Vries · 2023
Later among the works it cites.
Path integrals, particular kinds, and strange things
Karl Friston, Lancelot Da Costa, Dalton A. R. Sakthivadivel, Conor Heins, Grigorios A. Pavliotis, Maxwell Ramstead, and Thomas Parr · 2023
Later among the works it cites.
What type of inference is planning?
Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, and Dileep George · 2024
Later among the works it cites.
On predictive planning and counterfactual learning in active inference
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
Thomas Parr, Giovanni Pezzulo, and Karl Friston · 2022
Cited alongside, same era.
Aswin Paul, Takuya Isomura, and Adeel Razi · 2024
Later among the works it cites.
Realizing Synthetic Active Inference Agents, Part II: Variational Message Updates
Thijs van de Laar, Magnus Koudahl, and Bert de Vries · 2024
Later among the works it cites.