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Using field-programmable gate arrays for learning non player characters.

, and . MMVE@MMSys, page 2:1-2:2. ACM, (2016)

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Requirements of Peer-to-Peer-based Massively Multiplayer Online Gaming, , , , , and . CCGRID '07: Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid, page 773--782. Washington, DC, USA, IEEE Computer Society, (2007)Using field-programmable gate arrays for learning non player characters., and . MMVE@MMSys, page 2:1-2:2. ACM, (2016)An Embedded CNN Implementation for On-Device ECG Analysis., , , and . PerCom Workshops, page 1-6. IEEE, (2020)A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs., , , and . CoRR, (2023)Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action Policies., , and . ACM Trans. Auton. Adapt. Syst., 15 (4): 14:1-14:25 (2020)FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization., , , and . CoRR, (2024)Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs., , and . CoRR, (2023)Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform., , and . IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 256-267. Springer, (2020)In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial)., , , and . ACSOS-C, page 320-321. IEEE, (2021)On-Device AI: Quantization-Aware Training of Transformers in Time-Series., and . PerCom Workshops, page 235-236. IEEE, (2023)