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Found 4 papers, 0 papers with code
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Drawing inspiration from the outstanding learning capability of our human brains, Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it leverages high-dimensional vector presentation and operations for brain-like lightweight Machine Learning (ML).
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years.
Model-based Reinforcement Learning
Reinforcement Learning (RL)
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing
Our evaluation shows QHD capability for real-time learning, providing 34. 6 times speedup and significantly better quality of learning than DQN.
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms
In this paper, we treat the problem of tuning parameters of DL frameworks to improve training and inference performance as a black-box optimization problem.
