相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A survey On hardware accelerators and optimization techniques for RNNs
Sparsh Mittal et al.
JOURNAL OF SYSTEMS ARCHITECTURE (2021)
NEMO-CNN: An Efficient Near-Memory Accelerator for Convolutional Neural Networks
Grant Brown et al.
2021 IEEE 32ND INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2021) (2021)
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning
Hirohisa Watanabe et al.
2021 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW) (2021)
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs
Sumit K. Mandal et al.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS (2020)
Data Centers Job Scheduling with Deep Reinforcement Learning
Sisheng Liang et al.
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT II (2020)
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators
Yuan Meng et al.
2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2020) (2020)
Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms
Yuan Meng et al.
28TH IEEE INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM) (2020)
Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices
Chao Wu et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2020)
[DL] A Survey of FPGA-based Neural Network Inference Accelerators
Kaiyuan Guo et al.
ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS (2019)
A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors
Ujjwal Gupta et al.
IEEE COMPUTER ARCHITECTURE LETTERS (2019)
A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling
Qingchen Zhang et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2019)
Near-memory computing: Past, present, and future
Gagandeep Singh et al.
MICROPROCESSORS AND MICROSYSTEMS (2019)
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals et al.
NATURE (2019)
A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks
Sparsh Mittal
MACHINE LEARNING AND KNOWLEDGE EXTRACTION (2019)
FA3C: FPGA-Accelerated Deep Reinforcement Learning
Hyungmin Cho et al.
TWENTY-FOURTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXIV) (2019)
Customisable Control Policy Learning for Robotics
Ce Guo et al.
2019 IEEE 30TH INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2019) (2019)
An Efficient Hardware Implementation of Reinforcement Learning: The Q-Learning Algorithm
Sergio Spano et al.
IEEE ACCESS (2019)
Parallel Implementation of Reinforcement Learning Q-Learning Technique for FPGA
Lucileide M. D. Da Silva et al.
IEEE ACCESS (2019)
Review of Deep Reinforcement Learning for Robot Manipulation
Hai Nguyen et al.
2019 THIRD IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC 2019) (2019)
Q-Learning Algorithms: A Comprehensive Classification and Applications
Beakcheol Jang et al.
IEEE ACCESS (2019)
FPGA Dynamic and Partial Reconfiguration: A Survey of Architectures, Methods, and Applications
Kizheppatt Vipin et al.
ACM COMPUTING SURVEYS (2018)
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning
Youri Coppens et al.
2017 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR) (2017)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2013)
Hardware Architecture of Reinforcement Learning Scheme for Dynamic Power Management in Embedded Systems
Viswanathan Lakshmi Prabha et al.
EURASIP JOURNAL ON EMBEDDED SYSTEMS (2007)
分享论文
