Lucian Busoniu

Orcid: 0000-0001-8017-1296

According to our database1, Lucian Busoniu authored at least 83 papers between 2005 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Stability analysis of optimal control problems with time-dependent costs.
Autom., November, 2023

Optimistic planning for control of hybrid-input nonlinear systems.
Autom., August, 2023

Near-Optimal Control of Nonlinear Systems With Hybrid Inputs and Dwell-Time Constraints.
IEEE Control. Syst. Lett., 2023

Two-Channel Extended Kalman Filtering with Intermittent Measurements.
CoRR, 2023

3D exploration-based search for multiple targets using a UAV.
CoRR, 2023

Active search and coverage using point-cloud reinforcement learning.
Proceedings of the 27th International Conference on System Theory, Control and Computing, 2023

2022
TS Fuzzy Observer-Based Controller Design for a Class of Discrete-Time Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2022

Stable Near-Optimal Control of Nonlinear Switched Discrete-Time Systems: An Optimistic Planning-Based Approach.
IEEE Trans. Autom. Control., 2022

A Simulator and First Reinforcement Learning Results for Underwater Mapping.
Sensors, 2022

Underwater Robot Pose Estimation Using Acoustic Methods and Intermittent Position Measurements at the Surface.
Proceedings of the IEEE International Conference on Automation, 2022

2021
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles.
IEEE Robotics Autom. Lett., October, 2021

Finite-Horizon Discounted Optimal Control: Stability and Performance.
IEEE Trans. Autom. Control., 2021

Observer Design for a Class of Nonlinear Systems With Nonscalar-Input Nonlinear Consequents.
IEEE Control. Syst. Lett., 2021

When to stop value iteration: stability and near-optimality versus computation.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.
Proceedings of the 38th International Conference on Machine Learning, 2021

Predicting Intention of Motion During Rehabilitation Tasks of the Upper-Extremity.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Path-aware optimistic optimization for a mobile robot.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Optimistic planning for near-optimal control of nonlinear systems with hybrid inputs.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Exploiting homogeneity for the optimal control of discrete-time systems: application to value iteration.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Sorting Objects from a Conveyor Belt Using POMDPs with Multiple-Object Observations and Information-Gain Rewards.
Sensors, 2020

Learning control for transmission and navigation with a mobile robot under unknown communication rates.
CoRR, 2020

Space-time budget allocation policy design for viral marketing.
CoRR, 2020

Optimistic minimax search for noncooperative switched control with or without dwell time.
Autom., 2020

Control and estimation for mobile sensor-target problems with distance-dependent noise.
Proceedings of the 2020 American Control Conference, 2020

2019
Data-Efficient Reinforcement Learning for Energy Optimization of Power-Assisted Wheelchairs.
IEEE Trans. Ind. Electron., 2019

Sorting objects from a conveyor belt using active perception with a POMDP model.
Proceedings of the 17th European Control Conference, 2019

Hardware and control design of a ball balancing robot.
Proceedings of the 22nd IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems, 2019

Stability guarantees for nonlinear discrete-time systems controlled by approximate value iteration.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Optimistic planning for the near-optimal control of nonlinear switched discrete-time systems with stability guarantees.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning-based control for a communicating mobile robot under unknown rates.
Proceedings of the 2019 American Control Conference, 2019

2018
Optimistic planning with an adaptive number of action switches for near-optimal nonlinear control.
Eng. Appl. Artif. Intell., 2018

Continuous-action planning for discounted infinite-horizon nonlinear optimal control with Lipschitz values.
Autom., 2018

Reinforcement learning for control: Performance, stability, and deep approximators.
Annu. Rev. Control., 2018

Stability analysis of discrete-time finite-horizon discounted optimal control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Reinforcement Learning for Energy Optimization Under Human Fatigue Constraints of Power-Assisted Wheelchairs.
Proceedings of the 2018 Annual American Control Conference, 2018

Space-time budget allocation for marketing over social networks.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
Stability Analysis of Discrete-Time Infinite-Horizon Optimal Control With Discounted Cost.
IEEE Trans. Autom. Control., 2017

Planning for optimal control and performance certification in nonlinear systems with controlled or uncontrolled switches.
Autom., 2017

Decoupled-dynamics distributed control for strings of nonlinear autonomous agents.
Proceedings of the 2017 American Control Conference, 2017

Near-optimal control of nonlinear switched systems with non-cooperative switching rules.
Proceedings of the 2017 American Control Conference, 2017

2016
Near-Optimal Strategies for Nonlinear and Uncertain Networked Control Systems.
IEEE Trans. Autom. Control., 2016

Online learning for optimistic planning.
Eng. Appl. Artif. Intell., 2016

Receding-horizon control for max-plus linear systems with discrete actions using optimistic planning.
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016

Analysis and a home assistance application of online AEMS2 planning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Model predictive control for continuous piecewise affine systems using optimistic optimization.
Proceedings of the 2016 American Control Conference, 2016

Discounted near-optimal control of general continuous-action nonlinear systems using optimistic planning.
Proceedings of the 2016 American Control Conference, 2016

2015
Vision and Control for UAVs: A Survey of General Methods and of Inexpensive Platforms for Infrastructure Inspection.
Sensors, 2015

Real-Time Optimistic Planning with Action Sequences.
Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

Planning methods for the optimal control and performance certification of general nonlinear switched systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Consensus for black-box nonlinear agents using optimistic optimization.
Autom., 2014

Stability of infinite-horizon optimal control with discounted cost.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimistic planning with a limited number of action switches for near-optimal nonlinear control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Railway track following with the AR.Drone using vanishing point detection.
Proceedings of the IEEE International Conference on Automation, 2014

Optimistic planning with long sequences of identical actions for near-optimal nonlinear control.
Proceedings of the IEEE International Conference on Automation, 2014

An analysis of optimistic, best-first search for minimax sequential decision making.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Consensus for agents with general dynamics using optimistic optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Near-optimal strategies for nonlinear networked control systems using optimistic planning.
Proceedings of the American Control Conference, 2013

A general approach for consensus using optimistic planning.
Proceedings of the American Control Conference, 2013

Optimistic planning for belief-augmented Markov Decision Processes.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

Optimistic planning for continuous-action deterministic systems.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
Efficient Model Learning Methods for Actor-Critic Control.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Experience Replay for Real-Time Reinforcement Learning Control.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Optimistic planning for Markov decision processes.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Model learning actor-critic algorithms: Performance evaluation in a motion control task.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Least-Squares Methods for Policy Iteration.
Proceedings of the Reinforcement Learning, 2012

2011
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Optimistic planning for sparsely stochastic systems.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Approximate reinforcement learning: An overview.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Approximate Dynamic Programming and Reinforcement Learning.
Proceedings of the Interactive Collaborative Information Systems, 2010

Approximate dynamic programming with a fuzzy parameterization.
Autom., 2010

Control delay in Reinforcement Learning for real-time dynamic systems: A memoryless approach.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Online least-squares policy iteration for reinforcement learning control.
Proceedings of the American Control Conference, 2010

2009
Reinforcement learning in continuous state and action spaces.
PhD thesis, 2009

Policy search with cross-entropy optimization of basis functions.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
A Comprehensive Survey of Multiagent Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Consistency of fuzzy model-based reinforcement learning.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning.
Proceedings of the FUZZ-IEEE 2007, 2007

Continuous-State Reinforcement Learning with Fuzzy Approximation.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006
Decentralized Reinforcement Learning Control of a Robotic Manipulator.
Proceedings of the Ninth International Conference on Control, 2006

Multi-Agent Reinforcement Learning: A Survey.
Proceedings of the Ninth International Conference on Control, 2006

2005
An Improved Multiagent Reinforcement Learning Algorithm.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Multiagent Reinforcement Learning with Adaptive State Focus.
Proceedings of the BNAIC 2005, 2005


  Loading...