Personalized robotic control via constrained multi-objective reinforcement learning
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Personalized robotic control via constrained multi-objective reinforcement learning
Authors
Keywords
-
Journal
NEUROCOMPUTING
Volume -, Issue -, Pages 126986
Publisher
Elsevier BV
Online
2023-11-03
DOI
10.1016/j.neucom.2023.126986
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bipartite synchronization for cooperative-competitive neural networks with reaction–diffusion terms via dual event-triggered mechanism
- (2023) Xiaona Song et al. NEUROCOMPUTING
- Continual spatio-temporal graph convolutional networks
- (2023) Lukas Hedegaard et al. PATTERN RECOGNITION
- Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
- (2023) Xiangkun He et al. SAE International Journal of Vehicle Dynamics Stability and NVH
- Point-to-point consensus tracking control for unknown nonlinear multi-agent systems using data-driven iterative learning
- (2022) Yanling Yin et al. NEUROCOMPUTING
- Robust point‐to‐point iterative learning control for constrained systems: A minimum energy approach
- (2022) Chenhui Zhou et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Hybrid‐driven‐based fuzzy secure filtering for nonlinear parabolic partial differential equation systems with cyber attacks
- (2022) Zhen Zhang et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach
- (2022) Xiangkun He et al. IEEE Transactions on Intelligent Vehicles
- Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach
- (2022) Xiangkun He et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Adaptive Control of PMSM Servo System for Steering-by-Wire System With Disturbances Observation
- (2021) Jian Wu et al. IEEE Transactions on Transportation Electrification
- An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions
- (2020) Dong-Ok Won et al. Science Robotics
- Actor-Critic Reinforcement Learning for Control With Stability Guarantee
- (2020) Minghao Han et al. IEEE Robotics and Automation Letters
- Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits
- (2018) Xuewu Ji et al. CONTROL ENGINEERING PRACTICE
- A Survey of Multi-Objective Sequential Decision-Making
- (2018) D. M. Roijers et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Emergency steering control of autonomous vehicle for collision avoidance and stabilisation
- (2018) Xiangkun He et al. VEHICLE SYSTEM DYNAMICS
- Manifold-based multi-objective policy search with sample reuse
- (2017) S. Parisi et al. NEUROCOMPUTING
- A survey of deep neural network architectures and their applications
- (2017) Weibo Liu et al. NEUROCOMPUTING
- Optimal cascade hydraulic control for a parallel robot platform by PSO
- (2014) Novak Nedic et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Empirical evaluation methods for multiobjective reinforcement learning algorithms
- (2010) Peter Vamplew et al. MACHINE LEARNING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More