Search Results for author: Rujikorn Charakorn

Found 4 papers, 3 papers with code

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

1 code implementation29 Sep 2023 Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón

Distributed Deep Reinforcement Learning (DRL) aims to leverage more computational resources to train autonomous agents with less training time.

reinforcement-learning

An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection

1 code implementation24 Jan 2020 Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul

In this work, we propose a framework, called SPLIT, which allows us to disentangle local and global information into two separate sets of latent variables within the variational autoencoder (VAE) framework.

Clustering Deep Clustering +5

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