research
∙
06/22/2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
Learning from visual observation (LfVO), aiming at recovering policies f...
share
research
∙
02/16/2023
Model-Based Decentralized Policy Optimization
Decentralized policy optimization has been commonly used in cooperative ...
research
∙
02/02/2023
Best Possible Q-Learning
Fully decentralized learning, where the global information, i.e., the ac...
research
∙
08/04/2021
Model-Based Opponent Modeling
When one agent interacts with a multi-agent environment, it is challengi...
research
∙
08/04/2021
Offline Decentralized Multi-Agent Reinforcement Learning
In many real-world multi-agent cooperative tasks, due to high cost and r...
research
∙
06/10/2020
The Emergence of Individuality in Multi-Agent Reinforcement Learning
Individuality is essential in human society, which induces the division ...
research
∙
10/31/2019
Learning Fairness in Multi-Agent Systems
Fairness is essential for human society, contributing to stability and p...
research
∙
04/21/2019
Generative Exploration and Exploitation
Sparse reward is one of the biggest challenges in reinforcement learning...
research
∙
10/22/2018
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation
Learning to cooperate is crucially important in multi-agent reinforcemen...
research
∙
05/20/2018
