Lei Cao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Continuous State And Action Spaces

Function Approximation

Reinforcement Learning

Top Venues

IEICE Trans. Inf. Syst.

IEEE Trans. Cybern.

Publications

Zhixiong Xu, Wei Zhang, Ailin Li, Feifei Zhao, Yuanyuan Jing, Zheng Wan, Lei Cao, Xiliang Chen
Online Optimization Method of Learning Process for Meta-Learning. Comput. J. 67 (5) (2024)
Zhiruo Zhao, Lei Cao, Xiliang Chen, Jun Lai, Legui Zhang
Improvement of MADRL Equilibrium Based on Pareto Optimization. Comput. J. 66 (7) (2023)
Liqin Xiong, Lei Cao, Xiliang Chen, Jun Lai, Xijian Luo
Character-Based Value Factorization For MADRL. Comput. J. 66 (11) (2023)
Yu Sun, Jun Lai, Lei Cao, Xiliang Chen, Zhixiong Xu, Zhen Lian, Huijin Fan
A Friend-or-Foe framework for multi-agent reinforcement learning policy generation in mixing cooperative-competitive scenarios. Trans. Inst. Meas. Control 44 (12) (2022)
Zhixiong Xu, Xiliang Chen, Lei Cao
Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning. IEEE Trans. Cybern. 52 (6) (2022)
Zeyang Lin, Jun Lai, Xiliang Chen, Lei Cao, Jun Wang
Curriculum Reinforcement Learning Based on K-Fold Cross Validation. Entropy 24 (12) (2022)
Zhixiong Xu, Xiliang Chen, Wei Tang, Jun Lai, Lei Cao
-learning. Neurocomputing 432 (2021)
Yu Sun, Jun Lai, Lei Cao, Xi-liang Chen, Zhixiong Xu, Yue Xu
A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning. IEEE Access 8 (2020)
Zhongwei Zhang, Lei Cao, Xiliang Chen, Wei Tang, Zhixiong Xu, Yangyang Meng
Representation Learning of Knowledge Graphs With Entity Attributes. IEEE Access 8 (2020)
Zhixiong Xu, Lei Cao, Xiliang Chen
Learning to Learn: Hierarchical Meta-Critic Networks. IEEE Access 7 (2019)
Zhixiong Xu, Lei Cao, Xiliang Chen
Meta-Learning via Weighted Gradient Update. IEEE Access 7 (2019)
Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang
Deep Reinforcement Learning via Past-Success Directed Exploration. AAAI (2019)
Zhixiong Xu, Lei Cao, Xi-liang Chen, Chenxi Li
Reward-Based Exploration: Adaptive Control for Deep Reinforcement Learning. IEICE Trans. Inf. Syst. (9) (2018)
Zhixiong Xu, Lei Cao, Xi-liang Chen, Chenxi Li, Yongliang Zhang, Jun Lai
Deep Reinforcement Learning with Sarsa and Q-Learning: A Hybrid Approach. IEICE Trans. Inf. Syst. (9) (2018)
Chenxi Li, Lei Cao, Xiaoming Liu, Xiliang Chen, Zhixiong Xu, Yongliang Zhang
A Study of Qualitative Knowledge-Based Exploration for Continuous Deep Reinforcement Learning. IEICE Trans. Inf. Syst. (11) (2017)