439 citations · 503 across the 16 of their papers we have counts for
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cs.LG2022★ 3 cited
Large Language Models can Implement Policy Iteration
Ethan Brooks, Logan Walls, Richard L. Lewis +1
This work presents In-Context Policy Iteration, an algorithm for performing Reinforcement Learning (RL), in-context, using foundation models. While the application of foundation mo…
cs.LG2022★ 2 cited
GrASP: Gradient-Based Affordance Selection for Planning
Vivek Veeriah, Zeyu Zheng, Richard Lewis +1
Planning with a learned model is arguably a key component of intelligence. There are several challenges in realizing such a component in large-scale reinforcement learning (RL) pro…