Lancelot Da Costa

According to our database, Lancelot Da Costa authored at least 30 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning POMDP World Models from Observations with Language-Model Priors.

Valentin Six, Frederik Panse, Mathis Fajeau, Lancelot Da Costa, Mridul Sharma, Alfonso Amayuelas, Tim Z. Xiao, David Hyland, Philipp Hennig, Bernhard Schölkopf

CoRR, May, 2026

2025

Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling.

Lancelot Da Costa, Sanjeev Namjoshi, Mohammed Abbas Ansari, Bernhard Schölkopf

CoRR, November, 2025

Bayesian Predictive Coding.

Alexander Tschantz, Magnus T. Koudahl, Hampus Linander, Lancelot Da Costa, Conor Heins, Jeff Beck, Christopher L. Buckley

CoRR, March, 2025

Gradient-Free De Novo Learning.

Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen

Entropy, 2025

Bethe Predictive Coding.

Magnus T. Koudahl, Alexander Tschantz, Tommaso Salvatori, Hampus Linander, Lancelot Da Costa, Jeff Beck, Christopher Buckley

Proceedings of the Active Inference - 6th International Workshop, 2025

2024

Sustainability under Active Inference.

Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Inês Hipólito, Lancelot Da Costa, Maria Raffa, Axel Constant, Sarah Grace Manski

Syst., 2024

On efficient computation in active inference.

Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi

Expert Syst. Appl., 2024

Possible principles for aligned structure learning agents.

Lancelot Da Costa, Tomas Gavenciak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl J. Friston

CoRR, 2024

Toward Universal and Interpretable World Models for Open-ended Learning Agents.

Lancelot Da Costa

CoRR, 2024

From pixels to planning: scale-free active inference.

Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr

CoRR, 2024

Active Inference as a Model of Agency.

Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid

CoRR, 2024

2023

Reward Maximization Through Discrete Active Inference.

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

Neural Comput., May, 2023

Sample Path Regularity of Gaussian Processes from the Covariance Kernel.

Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig

CoRR, 2023

Supervised structure learning.

Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley

CoRR, 2023

Collective behavior from surprise minimization.

Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin

CoRR, 2023

2022

Branching Time Active Inference: The theory and its generality.

Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes

Neural Networks, 2022

Bayesian Brains and the Rényi Divergence.

Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston

Neural Comput., 2022

How Active Inference Could Help Revolutionise Robotics.

Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan

Entropy, 2022

The entropy production of stationary diffusions.

Lancelot Da Costa, Grigorios A. Pavliotis

CoRR, 2022

Modelling non-reinforced preferences using selective attention.

Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

CoRR, 2022

Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents.

Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis

CoRR, 2022

2021

Sophisticated Inference.

Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr

Neural Comput., 2021

Generative Models for Active Vision.

Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston

Frontiers Neurorobotics, 2021

A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks.

Kai Ueltzhöffer, Lancelot Da Costa, Daniela Cialfi, Karl J. Friston

Entropy, 2021

Memory and Markov Blankets.

Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston

Entropy, 2021

Stochastic Chaos and Markov Blankets.

Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr

Entropy, 2021

Some Interesting Observations on the Free Energy Principle.

Karl J. Friston, Lancelot Da Costa, Thomas Parr

Entropy, 2021

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing.

Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston

Entropy, 2021

Active inference, Bayesian optimal design, and expected utility.

Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston

CoRR, 2021

2020

The relationship between dynamic programming and active inference: the discrete, finite-horizon case.

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

CoRR, 2020