In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning

Research article (Advanced Materials, 2021) · cited 37× · AI/ML
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In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning

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In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/inmemory-realization-of-eligibility-traces-based-on-conductance-drift-of-phase-change-memory-for-energyefficient-reinfor
MLA “In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inmemory-realization-of-eligibility-traces-based-on-conductance-drift-of-phase-change-memory-for-energyefficient-reinfor.
BibTeX @misc{4ortxyz_inmemory-realization-of-eligibility-traces-based-on-conductance-drift-of-phase-change-memory-for-energyefficient-reinfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/inmemory-realization-of-eligibility-traces-based-on-conductance-drift-of-phase-change-memory-for-energyefficient-reinfor}, note = {Accessed: 2026-05-24}}
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