66 citations · 238 across the 33 of their papers we have counts for
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cs.AI2024
Game On: Towards Language Models as RL Experimenters
Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki +2
We propose an agent architecture that automates parts of the common reinforcement learning experiment workflow, to enable automated mastery of control domains for embodied agents.…
cs.AI2024★ 1 cited
GATS: Gather-Attend-Scatter
Konrad Zolna, Serkan Cabi, Yutian Chen +5
As the AI community increasingly adopts large-scale models, it is crucial to develop general and flexible tools to integrate them. We introduce Gather-Attend-Scatter (GATS), a nove…