Gang Chen

LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems

Qingling Zhao, Rui Xu, Siyu Luan, 2022, 2022 IEEE 25th International Symposium On Real-Time Distributed Computing (ISORC).

Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces

Gang Chen, Victoria Huang, 2022, ArXiv.

MSRL: Distributed Reinforcement Learning with Dataflow Fragments

Yaodong Yang, P. Pietzuch, Gang Chen, 2022, USENIX Annual Technical Conference.

Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning

Chen Wang, Hui Ma, Gang Chen, 2022, International Conference on Service Oriented Computing.

A mixed policy to improve performance of language models on math problems

Gang Chen, 2023, arXiv.org.

Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem

Chuan Wang, Longhan Xie, Cong Zhang, 2023, Appl. Soft Comput..

Optimal tracking agent: a new framework of reinforcement learning for multiagent systems

Gang Chen, Min Wu, Weihua Cao, 2013, Concurr. Comput. Pract. Exp..

The research on intelligent cooperative combat of UAV cluster with multi-agent reinforcement learning

Dan Xu, Gang Chen, 2021, Aerospace Systems.

Policy ensemble gradient for continuous control problems in deep reinforcement learning

Gang Chen, Victoria Huang, Guoqiang Liu, 2023, Neurocomputing.