Lei Cao

According to our database, Lei Cao authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Character-Based Value Factorization For MADRL.

Liqin Xiong, Lei Cao, Xiliang Chen, Jun Lai, Xijian Luo

Comput. J., November, 2023

Improvement of MADRL Equilibrium Based on Pareto Optimization.

Zhiruo Zhao, Lei Cao, Xiliang Chen, Jun Lai, Legui Zhang

Comput. J., July, 2023

2022

Curriculum Reinforcement Learning Based on K-Fold Cross Validation.

Zeyang Lin, Jun Lai, Xiliang Chen, Lei Cao, Jun Wang

Entropy, December, 2022

A Friend-or-Foe framework for multi-agent reinforcement learning policy generation in mixing cooperative-competitive scenarios.

Yu Sun, Jun Lai, Lei Cao, Xiliang Chen, Zhixiong Xu, Zhen Lian, Huijin Fan

Trans. Inst. Meas. Control, 2022

Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning.

Zhixiong Xu, Xiliang Chen, Lei Cao

IEEE Trans. Cybern., 2022

2021

Meta weight learning via model-agnostic <i>meta</i>-learning.

Zhixiong Xu, Xiliang Chen, Wei Tang, Jun Lai, Lei Cao

Neurocomputing, 2021

2020

Deep Reinforcement Learning with Adaptive Update Target Combination.

Z. Xu, Lei Cao, Xiliang Chen, Jin-Hee Cho

Comput. J., 2020

Representation Learning of Knowledge Graphs With Entity Attributes.

Zhongwei Zhang, Lei Cao, Xiliang Chen, Wei Tang, Zhixiong Xu, Yangyang Meng

IEEE Access, 2020

A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning.

Yu Sun, Jun Lai, Lei Cao, Xi-liang Chen, Zhixiong Xu, Yue Xu

IEEE Access, 2020

2019

Meta-Learning via Weighted Gradient Update.

Zhixiong Xu, Lei Cao, Xiliang Chen

IEEE Access, 2019

Learning to Learn: Hierarchical Meta-Critic Networks.

Zhixiong Xu, Lei Cao, Xiliang Chen

IEEE Access, 2019

Deep Reinforcement Learning via Past-Success Directed Exploration.

Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Reinforcement Learning with Sarsa and Q-Learning: A Hybrid Approach.

Zhixiong Xu, Lei Cao, Xi-liang Chen, Chenxi Li, Yongliang Zhang, Jun Lai

IEICE Trans. Inf. Syst., 2018

Reward-Based Exploration: Adaptive Control for Deep Reinforcement Learning.

Zhixiong Xu, Lei Cao, Xi-liang Chen, Chenxi Li

IEICE Trans. Inf. Syst., 2018

2017

A Study of Qualitative Knowledge-Based Exploration for Continuous Deep Reinforcement Learning.

Chenxi Li, Lei Cao, Xiaoming Liu, Xiliang Chen, Zhixiong Xu, Yongliang Zhang

IEICE Trans. Inf. Syst., 2017