Associative Memory Based Experience Replay for Deep Reinforcement Learning

no code implementations • 16 Jul 2022 • Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu

AMPER replaces the widely-used time-costly tree-traversal-based priority sampling in PER while preserving the learning performance.

reinforcement-learning Reinforcement Learning (RL)

Experimentally realized memristive memory augmented neural network

no code implementations • 15 Apr 2022 • Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael Neimier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li

Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an off-chip memory due to its size.

One-Shot Learning

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories

no code implementations • 13 Nov 2020 • Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael Niemier, X. Sharon Hu

Moreover, this approach achieves accuracies comparable to floating-point precision implementations in software for NN classification and one/few-shot learning tasks.

Few-Shot Learning General Classification +1