Uncertainty-related paper 1. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?, 2017 : Infer epistemic uncertainty and aleatoric uncertainty using Bayesian neural networks. https://papers.nips.cc/paper/7141-what-uncertainties-do-we-need-in-bayesian-deep-learning-for-computer-vision What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? What Uncertainties Do We Need in Baye.. 더보기 Curation of RL papers Few selected papers I've enjoyed reading. More comprehensive list can be found in [https://spinningup.openai.com/en/latest/spinningup/keypapers.html]. Model-Free RL 1. Playing Atari with Deep Reinforcement Learning, Mnih et al, 2013. Algorithm: DQN https://arxiv.org/abs/1312.5602 Playing Atari with Deep Reinforcement Learning We present the first deep learning model to successfully learn control.. 더보기 Gaussian Mixture Regression 최근에 Learning from demonstration with model-based Gaussian process, CORL, 2019 (Learning from demonstration with model-based Gaussian process) 를 읽다가 GMR에 급 관심이 생겨서 맷랩으로 한번 구현을 해봤다. Input과 output의 joint distribution을 GMM으로 모델링하고, prediction은 conditional Gaussian을 이용해서 하는 재밌는 방법이다. 위의 수식이 GMR의 수식이다. 내가 참고한 논문에서는 $\hat{\Sigma}$를 적을 때, 괄호가 빠져있어서 조금 어려움이 있었는데, 모 논문들이 다 그렇지모. 여튼 위의 수식을 구현해보면 아래의 그림을 얻을.. 더보기 Install PyTorch for LCRnet using KB ...더보기 #!/bin/bash # http_proxy_on # do this first # python setting update apt-get upgrade # apt-get update # somehow timeout happens # python setting update pip install --upgrade pip pip install --upgrade numpy # jupyter notebook setting pip install jupyterthemes pip install --upgrade jupyterthemes jt -t grade3 -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T # i like this # opencv install pip insta.. 더보기 이전 1 2 3 4 5 6 ··· 161 다음
