Yuanheng Zhu

J. Ambient Intell. Humaniz. Comput., December, 2023

Empirical Policy Optimization for n-Player Markov Games.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2023

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., September, 2023

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition.

[BibT_eX]

[DOI]

IEEE Trans. Games, March, 2023

Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information.

[BibT_eX]

[DOI]

Runyu Lu

CoRR, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Weifan Li

Proceedings of the International Joint Conference on Neural Networks, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Policy Representation Opponent Shaping via Contrastive Learning.

[BibT_eX]

[DOI]

Yuming Chen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios.

[BibT_eX]

[DOI]

Jiajun Chai

CoRR, 2022

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

LILAC: Learning a Leader for Cooperative Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2021

Empirical Policy Optimization for n-Player Markov Games.

[BibT_eX]

[DOI]

CoRR, 2021

Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Minsong Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning.

[BibT_eX]

[DOI]

Kun Shao

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics.

[BibT_eX]

[DOI]

Zhiguang Zhong

IEEE Trans. Control. Syst. Technol., 2019

A Survey of Deep Reinforcement Learning in Video Games.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games.

[BibT_eX]

[DOI]

Weifan Li

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Comprehensive comparison of online ADP algorithms for continuous-time optimal control.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2018

A Review of Computational Intelligence for StarCraft AI.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

An Autonomous Driving Experience Platform with Learning-Based Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Learning Battles in ViZDoom via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Qichao Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2017

Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.

[BibT_eX]

[DOI]

Xiangjun Li

IEEE Trans. Neural Networks Learn. Syst., 2017

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

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

[BibT_eX]

[DOI]

Qichao Zhang

Neurocomputing, 2017

Cooperative reinforcement learning for multiple units combat in starCraft.

[BibT_eX]

[DOI]

Kun Shao

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.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Deep reinforcement learning with experience replay based on SARSA.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Convolutional fitted Q iteration for vision-based control problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A data-based online reinforcement learning algorithm satisfying probably approximately correct principle.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2015

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

[BibT_eX]

[DOI]

Derong Liu

Neurocomputing, 2015

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems.

[BibT_eX]

[DOI]

Cogn. Comput., 2015

Thermal comfort control based on MEC algorithm for HVAC systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

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

[BibT_eX]

[DOI]

Neurocomputing, 2014

A data-based online reinforcement learning algorithm with high-efficient exploration.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Neural and fuzzy dynamic programming for under-actuated systems.

[BibT_eX]

[DOI]