42 citations · 53 across the 10 of their papers we have counts for
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cs.LG2022★ 3 cited
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny Young, Aditya Ramesh, Louis Kirsch +1
Model-Based Reinforcement Learning (RL) is widely believed to have the potential to improve sample efficiency by allowing an agent to synthesize large amounts of imagined experienc…
cs.LG2022★ 1 cited
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
Tian Tian, Kenny Young, Richard S. Sutton
Value iteration (VI) is a foundational dynamic programming method, important for learning and planning in optimal control and reinforcement learning. VI proceeds in batches, where…