18 citations · 28 across the 14 of their papers we have counts for
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cs.LG2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
Cameron Allen, Aaron Kirtland, Ruo Yu Tao +7
Reinforcement learning algorithms typically rely on the assumption that the environment dynamics and value function can be expressed in terms of a Markovian state representation. H…
cs.LG2024★ 3 cited
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
Erik Jenner, Shreyas Kapur, Vasil Georgiev +3
Do neural networks learn to implement algorithms such as look-ahead or search "in the wild"? Or do they rely purely on collections of simple heuristics? We present evidence of lear…