most citedEntity Divider with Language Grounding in Multi-Agent Reinforcement Learning

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cs.LG2023

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Gaole Dai, Wei Wu, Ziyu Wang +3

Learned optimizers are a crucial component of meta-learning. Recent advancements in scalable learned optimizers have demonstrated their superior performance over hand-designed opti…

cs.LG2022★ 2 cited

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning

Ziluo Ding, Wanpeng Zhang, Junpeng Yue +3

We investigate the use of natural language to drive the generalization of policies in multi-agent settings. Unlike single-agent settings, the generalization of policies should also…