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2 accepted papers

2024

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

AAAI 2024technical

Transfer learning (TL) has shown great potential to improve Reinforcement Learning (RL) efficiency by leveraging prior knowledge in new tasks. However, much of the existing TL research focuses on transferring knowledge between tasks that share the same state-action spaces. Further, transfer from mu…

2022

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence

UAI 2022poster

Despite the impressive success achieved in various domains, deep reinforcement learning (DRL) is still faced with the sample inefficiency problem. Transfer learning (TL), which leverages prior knowledge from different but related tasks to accelerate the target task learning, has emerged as a promis…