Aman Arora
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The paper develops an optimistic maximum-likelihood algorithm that achieves $ ilde{O}(\sqrt{T})$ policy regret for sequential decision-making in partially observable Markov games against adaptive opponents.
This paper proposes a lightweight architectural enhancement for FPGA designs to improve data movement between block RAMs and digital signal processing units for deep learning workloads, incurring negligible area and delay overhead.
Papers
Boosting FPGA Performance with Direct BRAM-DSP Paths
This paper proposes a lightweight architectural enhancement for FPGA designs to improve data movement between block RAMs and digital signal processing units for deep learning workloads, incurring negl…