research
∙
05/10/2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change
In cooperative multi-agent reinforcement learning (MARL), where an agent...
share
research
∙
05/10/2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...
research
∙
05/09/2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Communication can promote coordination in cooperative Multi-Agent Reinfo...
research
∙
05/07/2023
Multi-agent Continual Coordination via Progressive Task Contextualization
Cooperative Multi-agent Reinforcement Learning (MARL) has attracted sign...
research
∙
05/07/2023
Robust Multi-agent Communication via Multi-view Message Certification
Many multi-agent scenarios require message sharing among agents to promo...
research
∙
02/19/2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Utilizing messages from teammates can improve coordination in cooperativ...
research
∙
01/05/2023
Self-Motivated Multi-Agent Exploration
In cooperative multi-agent reinforcement learning (CMARL), it is critica...
research
∙
10/13/2022
Multi-agent Dynamic Algorithm Configuration
Automated algorithm configuration relieves users from tedious, trial-and...
research
∙
08/09/2022
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Generating agents that can achieve Zero-Shot Coordination (ZSC) with uns...
research
∙
06/01/2022
Model Generation with Provable Coverability for Offline Reinforcement Learning
Model-based offline optimization with dynamics-aware policy provides a n...
research
∙
09/26/2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
In cooperative multi-agent reinforcement learning (MARL), where agents o...
research
∙
01/20/2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Exploration under sparse reward is a long-standing challenge of model-fr...
research
∙
10/23/2020
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
With the rising of short video apps, such as TikTok, Snapchat and Kwai, ...
research
∙
09/14/2020
Themes Informed Audio-visual Correspondence Learning
The applications of short-term user-generated video (UGV), such as Snapc...
research
∙
07/17/2019
DeepSqueeze: Decentralization Meets Error-Compensated Compression
Communication is a key bottleneck in distributed training. Recently, an ...
research
∙
07/17/2019
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Communication is a key bottleneck in distributed training. Recently, an ...
research
∙
04/30/2013