Kalman contrastive unsupervised representation learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-76085-7
Abstract: We first propose a Kalman contrastive (KalCo) framework for unsupervised representation learning by dictionary lookup. It builds a dynamic dictionary of encoded representation keys with a queue and a Kalman filter encoder, to which the… read more here.
Keywords: unsupervised representation; contrastive unsupervised; representation; representation learning ... See more keywords
Seg-CURL: Segmented Contrastive Unsupervised Reinforcement Learning for Sim-to-Real in Visual Robotic Manipulation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3278208
Abstract: Training image-based reinforcement learning (RL) agents are sample-inefficient, limiting their effectiveness in real-world manipulation tasks. Sim2Real, which involves training in simulations and transferring to the real world, effectively reduces the dependence on real data. However,… read more here.
Keywords: reinforcement learning; seg curl; curl; contrastive unsupervised ... See more keywords
Contrastive Unsupervised Representation Learning With Optimize-Selected Training Samples
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3424331
Abstract: Contrastive unsupervised representation learning (CURL) is a technique that seeks to learn feature sets from unlabeled data. It has found widespread and successful application in unsupervised feature learning, with the design of positive and negative… read more here.
Keywords: method; unsupervised representation; contrastive unsupervised; learning optimize ... See more keywords