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20232026
most citedLanguage Model Self-improvement by Reinforcement Learning Contemplation

2 citations · 3 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024★ 1 cited

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making

Zhilong Zhang, Ruifeng Chen, Junyin Ye +8

World models play a crucial role in decision-making within embodied environments, enabling cost-free explorations that would otherwise be expensive in the real world. To facilitate…

cs.LG2024

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts

Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li +4

Reinforcement learning (RL) trains agents to accomplish complex tasks through environmental interaction data, but its capacity is also limited by the scope of the available data. T…