Jilles Steeve Dibangoye

Orcid: 0000-0001-8826-4438

According to our database1, Jilles Steeve Dibangoye authored at least 57 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach.
CoRR, 2024

2023
Exact and anytime approach for solving the time dependent traveling salesman problem with time windows.
Eur. J. Oper. Res., December, 2023

Event-based neural learning for quadrotor control.
Auton. Robots, December, 2023

Codesigned Communication and Data Analytics for Condition-Based Maintenance in Smart Buildings.
IEEE Internet Things J., September, 2023

On Convex Optimal Value Functions For POSGs.
CoRR, 2023

Global min-max Computation for α-Hölder Games.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Optimization of Sensor Configurations for Fault Identification in Smart Buildings.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
HSVI can solve zero-sum Partially Observable Stochastic Games.
CoRR, 2022

R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

LAPTNet: LiDAR-Aided Perspective Transform Network.
Proceedings of the 17th International Conference on Control, 2022

2021
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms.
IEEE Trans. Intell. Transp. Syst., 2021

Heuristic Search Value Iteration for Zero-Sum Stochastic Games.
IEEE Trans. Games, 2021

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment.
CoRR, 2021

Godot Reinforcement Learning Agents.
CoRR, 2021

HSVI fo zs-POSGs using Concavity, Convexity and Lipschitz Properties.
CoRR, 2021

Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
A Common Optimization Framework for Multi-Robot Exploration and Coverage in 3D Environments.
J. Intell. Robotic Syst., 2020

On Bellman's Optimality Principle for zs-POSGs.
CoRR, 2020

EgoMap: Projective Mapping and Structured Egocentric Memory for Deep RL.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing.
Proceedings of the 37th International Conference on Machine Learning, 2020

Leveraging Dynamic Occupancy Grids for 3D Object Detection in Point Clouds.
Proceedings of the 16th International Conference on Control, 2020

Learning to Plan with Uncertain Topological Maps.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Multi-UAV Visual Coverage of Partially Known 3D Surfaces: Voronoi-based Initialization to Improve Local Optimizers.
CoRR, 2019

Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

<i>DynFloR</i>: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Combiner Optimisation Stochastique et Frontières pour l'Exploration 3D avec une Flotte de Drones.
Proceedings of the Systèmes Multi-Agents et simulation, 2019

Human-Like Decision-Making for Automated Driving in Highways.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Combining Stochastic Optimization and Frontiers for Aerial Multi-Robot Exploration of 3D Terrains.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Cooperative Multi-agent Policy Gradient.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Act in Continuous Dec-POMDPs.
Proceedings of the Journées Francophone Planification, 2018

Recherche heuristique pour jeux stochastiques (à somme nulle).
Proceedings of the Journées Francophone Planification, 2018

Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs.
Proceedings of the Journées Francophone Planification, 2018

Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning to Act in Decentralized Partially Observable MDPs.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Interaction-aware driver maneuver inference in highways using realistic driver models.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Open Decentralized POMDPs.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Optimally Solving Dec-POMDPs as Continuous-State MDPs.
J. Artif. Intell. Res., 2016

High-speed highway scene prediction based on driver models learned from demonstrations.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Distributed economic dispatch of embedded generation in smart grids.
Eng. Appl. Artif. Intell., 2015

Structural Results for Cooperative Decentralized Control Models.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploiting Separability in Multiagent Planning with Continuous-State MDPs (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Error-Bounded Approximations for Infinite-Horizon Discounted Decentralized POMDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Exploiting separability in multiagent planning with continuous-state MDPs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Producing efficient error-bounded solutions for transition independent decentralized mdps.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Scaling Up Decentralized MDPs Through Heuristic Search.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Toward error-bounded algorithms for infinite-horizon DEC-POMDPs.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Heuristic search for identical payoff Bayesian games.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Contributions à la résolution des processus décisionnels de Markov centralisés et décentralisés: algorithmes et théorie. (Contributions to solving Markov decision processes centralized and decentralized: algorithms and theory).
PhD thesis, 2009

Topological Order Planner for POMDPs.
Proceedings of the IJCAI 2009, 2009

Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Incremental Policy Generation for Finite-Horizon DEC-POMDPs.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
Recherche incrémentale à base de points pour la résolution des DEC-POMDPs (présentation courte).
Proceedings of the Systèmes Multi-Agents, Communautés virtuelles et naturelles - JFSMA 08, 2008

A Novel Prioritization Technique for Solving Markov Decision Processes.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Periodic real-time resource allocation for teams of progressive processing agents.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007


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