Yuanheng Zhu

According to our database1, Yuanheng Zhu authored at least 38 papers between 2012 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies.
IEEE Trans. Veh. Technol., 2020

Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020

LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR, 2020

Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition.
CoRR, 2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems.
IEEE Trans. Smart Grid, 2019

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics.
IEEE Trans. Control. Syst. Technol., 2019

A Survey of Deep Reinforcement Learning in Video Games.
CoRR, 2019

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Policy Iteration for H<sub>∞</sub> Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming.
IEEE Trans. Cybern., 2018

Comprehensive comparison of online ADP algorithms for continuous-time optimal control.
Artif. Intell. Rev., 2018

A Review of Computational Intelligence for StarCraft AI.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

An Autonomous Driving Experience Platform with Learning-Based Functions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Learning Battles in ViZDoom via Deep Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Event-Triggered H<sub>∞</sub> Control for Continuous-Time Nonlinear System via Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.
IEEE Trans. Neural Networks Learn. Syst., 2017

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2017

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs.
Neurocomputing, 2017

Cooperative reinforcement learning for multiple units combat in starCraft.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016

Deep reinforcement learning with experience replay based on SARSA.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Convolutional fitted Q iteration for vision-based control problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

A data-based online reinforcement learning algorithm satisfying probably approximately correct principle.
Neural Comput. Appl., 2015

Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems.
Neurocomputing, 2015

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems.
Cogn. Comput., 2015

Thermal comfort control based on MEC algorithm for HVAC systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Full-range adaptive cruise control based on supervised adaptive dynamic programming.
Neurocomputing, 2014

A data-based online reinforcement learning algorithm with high-efficient exploration.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Neural and fuzzy dynamic programming for under-actuated systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012


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