15 citations · 46 across the 18 of their papers we have counts for
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cs.AI2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
Yongyuan Liang, Tingqiang Xu, Kaizhe Hu +3
Can we generate a control policy for an agent using just one demonstration of desired behaviors as a prompt, as effortlessly as creating an image from a textual description? In thi…
cs.AI2020★ 7 cited
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning
Yongyuan Liang, Bangwei Li
Multi-agent reinforcement learning is a standard framework for modeling multi-agent interactions applied in real-world scenarios. Inspired by experience sharing in human groups, le…