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Lancelot Da Costa
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2020 – today
- 2024
- [j13]Aswin Paul
, Noor Sajid, Lancelot Da Costa, Adeel Razi
On efficient computation in active inference. Expert Syst. Appl. 253: 124315 (2024) - [j12]Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Inês Hipólito
Sustainability under Active Inference. Syst. 12(5): 163 (2024) - [i16]Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid:
Active Inference as a Model of Agency. CoRR abs/2401.12917 (2024) - [i15]Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr:
From pixels to planning: scale-free active inference. CoRR abs/2407.20292 (2024) - [i14]Lancelot Da Costa:
Toward Universal and Interpretable World Models for Open-ended Learning Agents. CoRR abs/2409.18676 (2024) - [i13]Lancelot Da Costa, Tomás Gavenciak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl J. Friston:
Possible principles for aligned structure learning agents. CoRR abs/2410.00258 (2024) - 2023
- [j11]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston
Reward Maximization Through Discrete Active Inference. Neural Comput. 35(5): 807-852 (2023) - [i12]Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi:
On efficient computation in active inference. CoRR abs/2307.00504 (2023) - [i11]Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin:
Collective behavior from surprise minimization. CoRR abs/2307.14804 (2023) - [i10]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:
Supervised structure learning. CoRR abs/2311.10300 (2023) - [i9]Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig
Sample Path Regularity of Gaussian Processes from the Covariance Kernel. CoRR abs/2312.14886 (2023) - 2022
- [j10]Lancelot Da Costa
How Active Inference Could Help Revolutionise Robotics. Entropy 24(3): 361 (2022) - [j9]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian Brains and the Rényi Divergence. Neural Comput. 34(4): 829-855 (2022) - [j8]Théophile Champion
Branching Time Active Inference: The theory and its generality. Neural Networks 151: 295-316 (2022) - [i8]Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR abs/2203.10592 (2022) - [i7]Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa:
Modelling non-reinforced preferences using selective attention. CoRR abs/2207.13699 (2022) - [i6]Lancelot Da Costa, Grigorios A. Pavliotis:
The entropy production of stationary diffusions. CoRR abs/2212.05125 (2022) - 2021
- [j7]Lancelot Da Costa
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy 23(4): 454 (2021) - [j6]Karl J. Friston
Some Interesting Observations on the Free Energy Principle. Entropy 23(8): 1076 (2021) - [j5]Thomas Parr
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j4]Kai Ueltzhöffer, Lancelot Da Costa
A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks. Entropy 23(9): 1115 (2021) - [j3]Karl J. Friston
Stochastic Chaos and Markov Blankets. Entropy 23(9): 1220 (2021) - [j2]Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
Generative Models for Active Vision. Frontiers Neurorobotics 15: 651432 (2021) - [j1]Karl J. Friston
Sophisticated Inference. Neural Comput. 33(3): 713-763 (2021) - [i5]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian brains and the Rényi divergence. CoRR abs/2107.05438 (2021) - [i4]Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston:
Active inference, Bayesian optimal design, and expected utility. CoRR abs/2110.04074 (2021) - [i3]Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes:
Branching Time Active Inference: the theory and its generality. CoRR abs/2111.11107 (2021) - 2020
- [i2]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. CoRR abs/2006.04120 (2020) - [i1]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR abs/2009.08111 (2020)
Coauthor Index
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