User profiles for Jonathan Ferrer-Mestres
![]() | Jonathan Ferrer-MestresLead Machine Learning Applied Scientist - Inception Institute of Artificial Intelligence, G42 Verified email at core42.ai Cited by 151 |
A primer on partially observable Markov decision processes (POMDPs)
Partially observable Markov decision processes (POMDPs) are a convenient mathematical
model to solve sequential decision‐making problems under imperfect observations. Most …
model to solve sequential decision‐making problems under imperfect observations. Most …
Combined task and motion planning as classical AI planning
J Ferrer-Mestres, G Frances, H Geffner - arXiv preprint arXiv:1706.06927, 2017 - arxiv.org
Planning in robotics is often split into task and motion planning. The high-level, symbolic
task planner decides what needs to be done, while the motion planner checks feasibility and …
task planner decides what needs to be done, while the motion planner checks feasibility and …
Synthesis of Procedural Models for Deterministic Transition Systems
This paper introduces a general approach for synthesizing procedural models of the state-transitions
of a given discrete system. The approach is general in that it accepts different target …
of a given discrete system. The approach is general in that it accepts different target …
Interpretable Solutions for Stochastic Dynamic Programming
In conservation of biodiversity, natural resource management and behavioural ecology,
stochastic dynamic programming, and its mathematical framework, Markov decision processes (…
stochastic dynamic programming, and its mathematical framework, Markov decision processes (…
KN-MOMDPs: Towards interpretable solutions for adaptive management
In biodiversity conservation, adaptive management (AM) is the principal tool for decision
making under uncertainty. AM problems are planning problems that can be modelled using …
making under uncertainty. AM problems are planning problems that can be modelled using …
[PDF][PDF] Planning with state constraints and its application to combined task and motion planning
J Ferrer-Mestres, G Frances… - Proceedings of the ICAPS …, 2015 - gfrances.github.io
Most of the key computational ideas in planning have been developed for planning languages
where action preconditions and goals are conjunctions of propositional atoms. These …
where action preconditions and goals are conjunctions of propositional atoms. These …
Solving k-mdps
Markov Decision Processes (MDPs) are employed to model sequential decision-making
problems under uncertainty. Traditionally, algorithms to solve MDPs have focused on solving …
problems under uncertainty. Traditionally, algorithms to solve MDPs have focused on solving …
TALKS: A systematic framework for resolving model-data discrepancies
Abstract Models and data play an important role in informing decision-making in environmental
systems, providing different and complementary information. Multiple frameworks have …
systems, providing different and complementary information. Multiple frameworks have …
Path-finding in dynamic environments with PDDL-planners
V Estivill-Castro, J Ferrer-Mestres - 2013 16th International …, 2013 - ieeexplore.ieee.org
The standardization of planning problems by their descriptions in the PDDL has resulted in
clear benchmarking of planners, and thus, in significant advances in reliable and efficient …
clear benchmarking of planners, and thus, in significant advances in reliable and efficient …
Planning with partially specified behaviors
J Segovia-Aguas, J Ferrer-Mestres… - Artificial Intelligence …, 2016 - ebooks.iospress.nl
In this paper we present a framework called Planning with Partially Specified Behaviors, or
PPSB, for combining reinforcement learning and planning to solve sequential decision …
PPSB, for combining reinforcement learning and planning to solve sequential decision …