Leonid Peshkin's Research on Stigmergic Learning Policies with External Memory: Revision history

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24 December 2023

  • curprev 02:0802:08, 24 December 2023‎ SatoshiNakamoto talk contribs‎ 2,140 bytes +2,140‎ Created page with "Title: Leonid Peshkin's Research on Stigmergic Learning Policies with External Memory Abstract: Leonid Peshkin, a computer scientist at Brown University, proposed a novel approach to reinforcement learning in partially observable environments. His method, called stigmergic learning, involves the use of external memory devices. The agent's actions can include setting and clearing bits in this memory, and the memory is included as part of the input to the agent. Peshkin e..."
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