research
∙
03/16/2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Value-decomposition methods, which reduce the difficulty of a multi-agen...
share
research
∙
11/30/2022
An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning
To enable the pre-trained models to be fine-tuned with local data on edg...
research
∙
05/28/2022
Parameter-Efficient and Student-Friendly Knowledge Distillation
Knowledge distillation (KD) has been extensively employed to transfer th...
research
∙
05/11/2022
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning for incomplete information environmen...
research
∙
03/08/2022
Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval
This paper seeks to provide the information retrieval community with som...
research
∙
05/26/2021
NNCFR: Minimize Counterfactual Regret with Neural Networks
Counterfactual Regret Minimization (CFR) is the popular method for findi...
research
∙
09/10/2020
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning
Counterfactual regret minimization (CFR) is a popular method to deal wit...
research
∙
08/06/2020