Mohamed Baioumy

16 papers A* 3A 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Monte Carlo Tree Search with Boltzmann Exploration.
CoRR
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2023 A* conf
Monte Carlo Tree Search with Boltzmann Exploration.
NeurIPS
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2022 J jnl
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning.
CoRR
Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes
2022 A conf
Unbiased Active Inference for Classical Control.
IROS
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
2022 J jnl
Unbiased Active Inference for Classical Control.
CoRR
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
2021 A* conf
Active Inference for Integrated State-Estimation, Control, and Learning.
ICRA
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2021 J jnl
Active Inference in Robotics and Artificial Agents: Survey and Challenges.
CoRR
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
2021 — conf
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference.
ECC
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
2021 J jnl
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference.
CoRR
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
2021 — conf
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference.
PKDD/ECML Workshops (1)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021 J jnl
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference.
CoRR
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021 — conf
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference.
PKDD/ECML Workshops (1)
Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
2021 J jnl
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference.
CoRR
Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
2020 — conf
Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults.
IWAI
Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari
2020 J jnl
Active Inference for Integrated State-Estimation, Control, and Learning.
CoRR
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2019 A* conf
Design and Evaluation of an Energy-Saving Drive for a Versatile Robotic Gripper.
ICRA
Job Neven, Mohamed Baioumy, Wouter Wolfslag, Martijn Wisse