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