40 citations · 48 across the 6 of their papers we have counts for
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cs.AI2024★ 6 cited
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, DiJia Su +4
While Transformers have enabled tremendous progress in various application settings, such architectures still trail behind traditional symbolic planners for solving complex decisio…
cs.AI2017★ 40 cited
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning
Lucas Lehnert, Stefanie Tellex, Michael L. Littman
One question central to Reinforcement Learning is how to learn a feature representation that supports algorithm scaling and re-use of learned information from different tasks. Succ…